9,204 Machine Learning Training Roles jobs in the United States
Director of Data Science & Artificial Intelligence (AI)
22096 Reston, Virginia
Fannie Mae
Posted 13 days ago
Job Viewed
Job Description
At Fannie Mae, the inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access toaffordable housing finance.
Job Description
In this compelling leadership position, you will plan and direct business unit operations and the work of a team who produce insights, new product or change recommendations, process improvement or automation, and predictive modeling to drive the success of strategy implementation. You will ensure team members are knowledgeable in data mining and data analysis methods, adept with large data processing techniques and computational programing capabilities, have practical problem-solving skills, and possess the ability to articulate solutions to non-technical consumers or partners. As the director, you will develop partnerships across the data engineering and data management teams, and external or created data sources to apply data mining techniques in preparation for analysis or use of enterprise data assets.
*THE IMPACT YOU WILL MAKE*
The *Director of Data Science & Artificial Intelligence (AI)*role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
* Lead a team of data scientist and AI developers, inspire innovation and development of advanced AI solutions from inception to production.
* Drive advancements in AI, while shaping the future of AI in mortgage industry and supporting the company's mission.
* Ensure collaboration with product and/or business owners, data engineers, and platform teams to align team objectives and group strategy.
* Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization. Ensure statistical modeling capabilities meet the group's strategic needs.
* Direct and execute the deployment of AI capabilities, Generative AI solutions, recommender systems, predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
* Apply innovative practices in data science and AI research and testing to product development, deployment, and maintenance.
* Direct the design of modeling applications to resolve complex or unusual business problems.
* Ensure the team communicates complex ideas and solutions effectively to division leadership through data visualizations, technical documentation, and non-technical presentation materials.
*THE EXPERIENCE YOU BRING TO THE TEAM*
*Minimum Required Experiences*
* 8 years of relevant experience in AI, data science, or related fields, with a proven track delivering solutions to production
* Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
* Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action.
* A spirit of scientific discovery, driven by a passion for innovation to deliver results, balanced with a deep understanding of risks and ethical considerations.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Bachelor's degree in computer science, Math, Statistics, engineering, physics or related field or equivalent experience
*Desired Experiences*
* Master degree or PhD in computer science, Math, Statistics, engineering, physics or related field is preferred
* Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the Financial or professional services sectors.
* Profound understanding of AI and advanced analytics technologies, coupled with the ability to evaluate their feasibility.
* Ideally, 10+ years of experience in Machine Learning, delivering complex prototyping solutions to production.
* Extensive proven, hands-on experience in data science. Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).
* Extensive experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, time-series analysis, statistical process control, are preferred
* Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.
* Expert-level knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar. Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
* Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
* Proficiency with Python and basic libraries for machine learning. Ability to visualize & synthesize results. Full stack experience building GenAI solutions; Large language models, language transformers (BERT, RoBERTa) data prep & vectorization, embedding/chunking, prompting, search/summary/RAG/finetuning.
* Experience with deep learning (e.g., CNN, RNN, LSTM) methods.
* Experience building NLP and NLG tools and a wide range of LLMs (Llama, Claude, OpenAI, etc.), LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred.
* Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments
* Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
*Tools*
* Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
* Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
* Expertise in popular machine learning algorithms and libraries such as TensorFlow, PyTorch, and Keras.
* Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Elastic Search).
* Familiarity with Amazon Bedrock, AmazonQ, or Google Vertex or Microsoft AI services is prefered
* Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions.
* Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production.
* Knowledge of security protocols and compliance standards relevant to data privacy and AI
Qualifications
Education:
Bachelor's Level Degree (Required), Master's Level Degree
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here .
Requisition compensation:
to
Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at
Job Description
In this compelling leadership position, you will plan and direct business unit operations and the work of a team who produce insights, new product or change recommendations, process improvement or automation, and predictive modeling to drive the success of strategy implementation. You will ensure team members are knowledgeable in data mining and data analysis methods, adept with large data processing techniques and computational programing capabilities, have practical problem-solving skills, and possess the ability to articulate solutions to non-technical consumers or partners. As the director, you will develop partnerships across the data engineering and data management teams, and external or created data sources to apply data mining techniques in preparation for analysis or use of enterprise data assets.
*THE IMPACT YOU WILL MAKE*
The *Director of Data Science & Artificial Intelligence (AI)*role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
* Lead a team of data scientist and AI developers, inspire innovation and development of advanced AI solutions from inception to production.
* Drive advancements in AI, while shaping the future of AI in mortgage industry and supporting the company's mission.
* Ensure collaboration with product and/or business owners, data engineers, and platform teams to align team objectives and group strategy.
* Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization. Ensure statistical modeling capabilities meet the group's strategic needs.
* Direct and execute the deployment of AI capabilities, Generative AI solutions, recommender systems, predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
* Apply innovative practices in data science and AI research and testing to product development, deployment, and maintenance.
* Direct the design of modeling applications to resolve complex or unusual business problems.
* Ensure the team communicates complex ideas and solutions effectively to division leadership through data visualizations, technical documentation, and non-technical presentation materials.
*THE EXPERIENCE YOU BRING TO THE TEAM*
*Minimum Required Experiences*
* 8 years of relevant experience in AI, data science, or related fields, with a proven track delivering solutions to production
* Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
* Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action.
* A spirit of scientific discovery, driven by a passion for innovation to deliver results, balanced with a deep understanding of risks and ethical considerations.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Bachelor's degree in computer science, Math, Statistics, engineering, physics or related field or equivalent experience
*Desired Experiences*
* Master degree or PhD in computer science, Math, Statistics, engineering, physics or related field is preferred
* Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the Financial or professional services sectors.
* Profound understanding of AI and advanced analytics technologies, coupled with the ability to evaluate their feasibility.
* Ideally, 10+ years of experience in Machine Learning, delivering complex prototyping solutions to production.
* Extensive proven, hands-on experience in data science. Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).
* Extensive experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, time-series analysis, statistical process control, are preferred
* Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.
* Expert-level knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar. Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
* Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
* Proficiency with Python and basic libraries for machine learning. Ability to visualize & synthesize results. Full stack experience building GenAI solutions; Large language models, language transformers (BERT, RoBERTa) data prep & vectorization, embedding/chunking, prompting, search/summary/RAG/finetuning.
* Experience with deep learning (e.g., CNN, RNN, LSTM) methods.
* Experience building NLP and NLG tools and a wide range of LLMs (Llama, Claude, OpenAI, etc.), LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred.
* Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments
* Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
*Tools*
* Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
* Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
* Expertise in popular machine learning algorithms and libraries such as TensorFlow, PyTorch, and Keras.
* Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Elastic Search).
* Familiarity with Amazon Bedrock, AmazonQ, or Google Vertex or Microsoft AI services is prefered
* Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions.
* Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production.
* Knowledge of security protocols and compliance standards relevant to data privacy and AI
Qualifications
Education:
Bachelor's Level Degree (Required), Master's Level Degree
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here .
Requisition compensation:
to
Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at
View Now
0
Director of Data Science & Artificial Intelligence (AI)
20080 Washington, District Of Columbia
Fannie Mae
Posted 26 days ago
Job Viewed
Job Description
At Fannie Mae, the inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of a collaborative team thriving in an energizing environment. Here, you will grow your career and help create access toaffordable housing finance.
Job Description
In this compelling leadership position, you will plan and direct business unit operations and the work of a team who produce insights, new product or change recommendations, process improvement or automation, and predictive modeling to drive the success of strategy implementation. You will ensure team members are knowledgeable in data mining and data analysis methods, adept with large data processing techniques and computational programing capabilities, have practical problem-solving skills, and possess the ability to articulate solutions to non-technical consumers or partners. As the director, you will develop partnerships across the data engineering and data management teams, and external or created data sources to apply data mining techniques in preparation for analysis or use of enterprise data assets.
*THE IMPACT YOU WILL MAKE*
The *Director of Data Science & Artificial Intelligence (AI)*role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
* Lead a team of data scientist and AI developers, inspire innovation and development of advanced AI solutions from inception to production.
* Drive advancements in AI, while shaping the future of AI in mortgage industry and supporting the company's mission.
* Ensure collaboration with product and/or business owners, data engineers, and platform teams to align team objectives and group strategy.
* Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization. Ensure statistical modeling capabilities meet the group's strategic needs.
* Direct and execute the deployment of AI capabilities, Generative AI solutions, recommender systems, predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
* Apply innovative practices in data science and AI research and testing to product development, deployment, and maintenance.
* Direct the design of modeling applications to resolve complex or unusual business problems.
* Ensure the team communicates complex ideas and solutions effectively to division leadership through data visualizations, technical documentation, and non-technical presentation materials.
*THE EXPERIENCE YOU BRING TO THE TEAM*
*Minimum Required Experiences*
* 8 years of relevant experience in AI, data science, or related fields, with a proven track delivering solutions to production
* Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
* Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action.
* A spirit of scientific discovery, driven by a passion for innovation to deliver results, balanced with a deep understanding of risks and ethical considerations.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Bachelor's degree in computer science, Math, Statistics, engineering, physics or related field or equivalent experience
*Desired Experiences*
* Master degree or PhD in computer science, Math, Statistics, engineering, physics or related field is preferred
* Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the Financial or professional services sectors.
* Profound understanding of AI and advanced analytics technologies, coupled with the ability to evaluate their feasibility.
* Ideally, 10+ years of experience in Machine Learning, delivering complex prototyping solutions to production.
* Extensive proven, hands-on experience in data science. Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).
* Extensive experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, time-series analysis, statistical process control, are preferred
* Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.
* Expert-level knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar. Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
* Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
* Proficiency with Python and basic libraries for machine learning. Ability to visualize & synthesize results. Full stack experience building GenAI solutions; Large language models, language transformers (BERT, RoBERTa) data prep & vectorization, embedding/chunking, prompting, search/summary/RAG/finetuning.
* Experience with deep learning (e.g., CNN, RNN, LSTM) methods.
* Experience building NLP and NLG tools and a wide range of LLMs (Llama, Claude, OpenAI, etc.), LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred.
* Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments
* Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
*Tools*
* Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
* Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
* Expertise in popular machine learning algorithms and libraries such as TensorFlow, PyTorch, and Keras.
* Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Elastic Search).
* Familiarity with Amazon Bedrock, AmazonQ, or Google Vertex or Microsoft AI services is prefered
* Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions.
* Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production.
* Knowledge of security protocols and compliance standards relevant to data privacy and AI
Qualifications
Education:
Bachelor's Level Degree (Required), Master's Level Degree
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here .
Requisition compensation:
to
Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at
Job Description
In this compelling leadership position, you will plan and direct business unit operations and the work of a team who produce insights, new product or change recommendations, process improvement or automation, and predictive modeling to drive the success of strategy implementation. You will ensure team members are knowledgeable in data mining and data analysis methods, adept with large data processing techniques and computational programing capabilities, have practical problem-solving skills, and possess the ability to articulate solutions to non-technical consumers or partners. As the director, you will develop partnerships across the data engineering and data management teams, and external or created data sources to apply data mining techniques in preparation for analysis or use of enterprise data assets.
*THE IMPACT YOU WILL MAKE*
The *Director of Data Science & Artificial Intelligence (AI)*role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
* Lead a team of data scientist and AI developers, inspire innovation and development of advanced AI solutions from inception to production.
* Drive advancements in AI, while shaping the future of AI in mortgage industry and supporting the company's mission.
* Ensure collaboration with product and/or business owners, data engineers, and platform teams to align team objectives and group strategy.
* Oversee the application of AI and data science techniques from disciplines, such as computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization. Ensure statistical modeling capabilities meet the group's strategic needs.
* Direct and execute the deployment of AI capabilities, Generative AI solutions, recommender systems, predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
* Apply innovative practices in data science and AI research and testing to product development, deployment, and maintenance.
* Direct the design of modeling applications to resolve complex or unusual business problems.
* Ensure the team communicates complex ideas and solutions effectively to division leadership through data visualizations, technical documentation, and non-technical presentation materials.
*THE EXPERIENCE YOU BRING TO THE TEAM*
*Minimum Required Experiences*
* 8 years of relevant experience in AI, data science, or related fields, with a proven track delivering solutions to production
* Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals.
* Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action.
* A spirit of scientific discovery, driven by a passion for innovation to deliver results, balanced with a deep understanding of risks and ethical considerations.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Bachelor's degree in computer science, Math, Statistics, engineering, physics or related field or equivalent experience
*Desired Experiences*
* Master degree or PhD in computer science, Math, Statistics, engineering, physics or related field is preferred
* Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the Financial or professional services sectors.
* Profound understanding of AI and advanced analytics technologies, coupled with the ability to evaluate their feasibility.
* Ideally, 10+ years of experience in Machine Learning, delivering complex prototyping solutions to production.
* Extensive proven, hands-on experience in data science. Expert-level experience with Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG).
* Extensive experience with advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, time-series analysis, statistical process control, are preferred
* Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.
* Expert-level knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar. Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
* Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems
* Proficiency with Python and basic libraries for machine learning. Ability to visualize & synthesize results. Full stack experience building GenAI solutions; Large language models, language transformers (BERT, RoBERTa) data prep & vectorization, embedding/chunking, prompting, search/summary/RAG/finetuning.
* Experience with deep learning (e.g., CNN, RNN, LSTM) methods.
* Experience building NLP and NLG tools and a wide range of LLMs (Llama, Claude, OpenAI, etc.), LoRA, LangChain, RAG, LLM Fine Tuning and PEFT are preferred.
* Demonstrated skills with Jupyter Notebook, AWS Sagemaker, or Domino Datalab or comparable environments
* Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
*Tools*
* Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets.
* Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment.
* Expertise in popular machine learning algorithms and libraries such as TensorFlow, PyTorch, and Keras.
* Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data.
* Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development.
* In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services.
* Experience with database management and querying tools, including traditional SQL databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Elastic Search).
* Familiarity with Amazon Bedrock, AmazonQ, or Google Vertex or Microsoft AI services is prefered
* Familiarity with DevOps practices and tools (e.g., Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions.
* Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production.
* Knowledge of security protocols and compliance standards relevant to data privacy and AI
Qualifications
Education:
Bachelor's Level Degree (Required), Master's Level Degree
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form .
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here .
Requisition compensation:
to
Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at
View Now
1
Data Science
78716 Austin, Texas
Syntricate Technologies
Posted 2 days ago
Job Viewed
Job Description
Position- Data Science
Duration-Contract
Location- Austin, TX~ Sunnyvale, CA
Jd
1. Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM.
2. Extensive experience in TIME SERIES.
3. Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
4. Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these models, such as Sklearn, Keras, Pandas, and TensorFlow.
5. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
6. Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn.
7. Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs.
Data Science, Python, TIME SERIES, NLP, LLM
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
Duration-Contract
Location- Austin, TX~ Sunnyvale, CA
Jd
1. Experience in Machine Learning and Deep Learning, including regression, classification, neural network, and Natural Language Processing (NLP), LLM.
2. Extensive experience in TIME SERIES.
3. Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite.
4. Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these models, such as Sklearn, Keras, Pandas, and TensorFlow.
5. Experience in Text Analytics, developing different Statistical Machine Learning, Data Mining solutions to various business problems, and generating data visualizations using R, Python.
6. Experience with common data science toolkits and libraries, such as Pandas, NumPy, SciPy, Scikit-learn.
7. Experience with data exploration to find actionable insights and make Product Recommendations through Funnel Analyses, A/B testing, Churn analysis, User Segmentation, Retention Rate, and business KPIs.
Data Science, Python, TIME SERIES, NLP, LLM
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
View Now
2
Data Science
72712 Bentonville, Arkansas
RIT Solutions, Inc.
Posted 2 days ago
Job Viewed
Job Description
Data Science
Bentonville, AR - Initially Remote
We're looking for an incredible Senior Data Scientist with Machine Learning Ex. AND DEPLOYMENT OF PYTHON WORKFLOWS.
*Team Supports:
What you'll do: Int'l merchandising. anything that goes on the shelf. and forecasting.
*In charge of last mile and middle mile delivery.
Issues: Lack of ML Engineers. Data scientist on his team do not know how to build API's
- Involve in extensive research and problem solving that spans a number of areas including computer vision, machine learning, image processing and distributed computing Research and development of computer vision and machine learning algorithms for object detection, recognition,segmentation, and tracking Actively attend premier conferences and events in the community Design, implement and deliver computer vision software systems to facilitate retail business Build scalable solutions to some of the challenging recognitionproblems in computer vision and continuously improve performance of existing algorithms.
- Drive the design and development of computer vision algorithm and software applications implemented on cloud or edge infrastructures.
- Maintain substantial knowledge of state-of-the-art principles and theories related to computer vision.
- Serve as technical lead in vision area and work closely with other data scientists, software engineers, product managers and operations to create high quality and highly performing solutions.
View Now
3
Data Science
21701 Frederick, Maryland
Syntricate Technologies
Posted 2 days ago
Job Viewed
Job Description
Position- Data Science
Duration-Contract
Location- Urbana, MD
JD
• Minimum 7 years of IT Experience• Minimum 2 years of experience in developing AI enabled solutions• Expert level competency in Python• Hands-on experience developing and deploying Machine Learning solutions• Good knowledge and experience in developing GenAI embedded solutions• Hands-on experience with AI cloud services is an added advantage Key Responsibilities:• Machine Learning based model building, validation, deployment, and monitoring• Developing MLOps solution for continuous development , deployment, and monitoring of solutions• Developing GenAI embedded solutions across various use cases• Rapid experimentation of GenAI use cases using Azure cloud AI and data services• Development and deployment of GenAI embedded solutions using open source solutions
Regards,
Pallavi Verm
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
Duration-Contract
Location- Urbana, MD
JD
• Minimum 7 years of IT Experience• Minimum 2 years of experience in developing AI enabled solutions• Expert level competency in Python• Hands-on experience developing and deploying Machine Learning solutions• Good knowledge and experience in developing GenAI embedded solutions• Hands-on experience with AI cloud services is an added advantage Key Responsibilities:• Machine Learning based model building, validation, deployment, and monitoring• Developing MLOps solution for continuous development , deployment, and monitoring of solutions• Developing GenAI embedded solutions across various use cases• Rapid experimentation of GenAI use cases using Azure cloud AI and data services• Development and deployment of GenAI embedded solutions using open source solutions
Regards,
Pallavi Verm
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
View Now
4
Data Science
85670 Fort Huachuca, Arizona
Peraton
Posted 2 days ago
Job Viewed
Job Description
Data Science
Job Locations
US-AZ-Fort Huachuca
Requisition ID
Position Category
Cyber Security
Clearance
Top Secret/SCI
Responsibilities
Secure Division Support. The GCC provides CSSP responsibilities and conducts DODIN Operations and DCO - Internal Defensive Measures (IDM) to protect the DODIN IAW the DoDM and the DoD Cybersecurity Services Evaluator Scoring Metrics (ESM). These responsibilities are broken into five (5) CSSP functions; Identify, Protect, Detect, Respond, and Recover. GCC is responsible to conduct these functions for its assigned portion of the DODIN for both unclassified and classified networks/ systems. The division provides support services for the protection, monitoring, analysis, detection, and response to unauthorized activity within the DoD Information Systems and Networks. DCO-IDM services are required to defend against unauthorized activity on all Army assets residing on the NIPRNet and SIPRNet. The division provides defensive measures to protect and defend information, computers, and networks from disruption, denial, degradation, or destruction. The division provides sensor management and event analysis and response for network and host-based events. For sensor management, the division provides management of in-line Network Intrusion Protection System/Network Intrusion Detection System (NIPS/NIDS) sensors monitoring all CONUS DoDIN-A NIPRNet and SIPRNet Enterprise traffic to detect sensor outages and activities that attempt to compromise the confidentiality, integrity, or availability of the network. In coordination with GCC Operations, DCO initiates defensive security procedures upon detection of these attacks. Event analysis and response includes the processes involved with reducing multiple cyber incidents to actual malicious threat determinations and mitigating those threats IAW guidance received from GCC Government leadership. Support the Government in providing services for CSSP services on both the NIPRNet and SIPRNet IAW Appendix E: Secure Division Workload Assessment in support of the CONUS portion of the DoDIN-A. Develop reports and products, both current and long-term, in support of CSSP and course of action development. Prepare Tactics, Techniques, and Procedures (TTP), SOPs, Executive Summary (EXSUMS), trip reports, and information/point papers. Contribute during the preparation of agreements, policy, and guidance documentation such as Memorandums of Understanding / Agreement (MOU/A), Service Level Agreements (SLA).
* Defensive Cyber Infrastructure (DCI) Support. Perform the following DCI functions:
* Develop and distribute content provided by security platform vendors at least weekly and as needed.
* Develop and distribute in-house content based on tippers from higher organizations and the Threat Hunt team.
* Provide content development and distribution to tactical edge customers and develop TTPs for doing so.
* Consolidate different data sources into a single view used to assess the status of a specific threat on the network.
* Develop and/or maintain dashboards displaying specific CSSP items of interest (i.e. top 10 attackers, top 10 destinations, top attack vector, etc.) and all active cyber incidents, in near real time, within each respective AOR.
* Maintain, update, test, and implement signatures and policies for each sensor managed by GCC.
* Changes must be approved through the established ITIL process.
* Develop signatures and policies that include both network- and host-based sensors.
* Update as necessary to minimize false positives and validate for proper syntax.
* Conduct all development and testing on isolated networks.
* Document and conduct testing activity with plan procedures, results, and operational procedures as signatures are developed and/or updated.
* Update and validate plan at least annually. A signature test plan shall be developed.
Basic Qualifications:
- 8 years with BS/BA; 6 years with MS/MA; 3 years with PhD
- Certifications: DCWF Code 521 Advanced: Certified Information Systems Security Professional (CISSP) or GIAC Certified Intrusion Analyst (GCIA) or GIAC Cloud Security Essentials (GCLD) or GIAC Defensible Security Architecture (GDSA) or GIAC Global Industrial Cyber Security Professional (GICSP) or GIAC Security Essentials Certification (GSEC) or Information Systems Security Architecture Professional (ISSAP) or Information Systems Security Engineering Professional (ISSEP)
- Active TS/SCI Clearance
- Ability to conduct vulnerability assessments and monitor networks to support test and operational environment requirements.
- Solid understanding of data transport, encryption, networking, IT systems, and cybersecurity fundamentals.
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range$66,000 - $106,000. This represents the typical salary range for this position based on experience and other factors.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
View Now
5
Data Science
10261 New York, New York
Diverse Lynx
Posted 2 days ago
Job Viewed
Job Description
Essential Skills: Data Science
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
View Now
Be The First To Know
About the latest Machine learning training roles Jobs in United States !
6
Data Science
10261 New York, New York
Profound
Posted 2 days ago
Job Viewed
Job Description
About Profound
Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US
Profound is an NYC-based AI startup helping brands measure and improve their visibility in AI platforms such as ChatGPT. We partner with some of the biggest brands and marketing agencies, including companies like MongoDB, Indeed, Mercury, DocuSign, Zapier, Ramp, Rho, Golin, Workable, Mejuri, Eight Sleep, G2, US
View Now
7
Data Science
95014 Monte Vista, California
Syntricate Technologies
Posted 2 days ago
Job Viewed
Job Description
Position- Data Science
Duration-Contract
Location- Cupertino, CA
JD
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
Duration-Contract
Location- Cupertino, CA
JD
- Data Scientist with strong Statistical Fundamentals learning Python with Pandas and NumPy Experience Strong Visualization
- Experience Strong understanding of Data Science Cycle OOP
- Python with Scientific and mathematical Experience and state Experience Need
- Digital : Data Visualization, Python for Data Science, Object Oriented Programming, Statistics & Analytics
Regards,
Pallavi Verma
Sr. Technical Recruiter | Syntricate Technologies Inc.
Direct : |
Email : | Web:
We're hiring! connect with us on LinkedIn nd visit our Jobs Portal
Minority Business Enterprise (MBE) Certified | E-Verified Corporation | Equal Employment Opportunity (EEO) Employer
This e-mail message may contain confidential or legally privileged information and is intended only for the use of the intended recipient(s). Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in reliance on the information herein is prohibited. Please notify the sender immediately by email if you have received this email by mistake and delete this e-mail from your system. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. If you do not want to receive any further emails or updates, please reply and request to unsubscribe .
View Now
8
Data Analytics/Science & Artificial Intelligence Faculty
80161 Littleton, Colorado
Arapahoe Community College
Posted 1 day ago
Job Viewed
Job Description
Salary: See Position Description
Location : Littleton, CO
Job Type: Faculty
Job Number: 00286
Division: Instruction
Department: Department of Computer Technology
Opening Date: 08/22/2025
Closing Date: 9/19/ :59 PM Mountain
FLSA: Exempt
ACC Careers: Where You Can Move Mountains
Nestled in the foothills of the Rocky Mountains sits one of the oldest community colleges in Colorado, Arapahoe Community College. With a rich history of educational excellence, ACC embraces a culture that values diversity, individualized support, and unwavering commitment to student success, without exception.
Job Summary
Colorado has a thriving data science and data analytics sector, which drives industries ranging from national security to healthcare. Our first data-focused faculty member will grow courses and academic pathways to prepare students for dynamic careers in a rapidly evolving data informed field. The Data/AI faculty will bring relevant industry or academic research experience into the classroom setting. The ideal faculty member will have expertise working with a range of data sets (unprocessed to processed and small to big) and will support the development of new programs in data science and artificial intelligence (AI) to meet the workforce demands of Colorado's data, space and advanced technology industries.
In the first year, this faculty member will focus primarily on curriculum development and designing innovative, industry-aligned curriculum and pathways. The role emphasizes the business application of AI, data science, and analytics, ensuring that students gain skills directly relevant to workforce needs. The successful candidate will help establish new academic pathways, such as an AI Fundamentals Certificate and micro credentials, while supporting ACC's culture of innovation, excellence, and rigor. This position directly advances the College's mission of producing the workforce of the future, and will require close collaboration with faculty, administrators, and external partners to align curriculum with industry demand and emerging technologies.
The Data Analytics/Science & Artificial Intelligence Faculty position is a full-time, 9-month faculty position in the Computing Technologies Department. ACC Faculty teach 15 credits each fall and spring semester. Faculty may have the option to teach courses during the summer semester for additional compensation. Courses may be taught using both traditional and non-traditional delivery methods, including face-to-face, online, computer-aided, distance learning, self-paced, and interdisciplinary. Faculty may need to teach at any ACC campus and at a variety of times (days, evenings, and some weekends).
ACC is committed to creating a community of best practices in facilitating teaching, learning, and student success. As such, we seek faculty who will be engaged members of the college community through active service on committees, collaboration with colleagues, and who possess a commitment and passion to facilitating improved outcomes for students and communities the college serves.
ACC is dedicated to supporting our faculty throughout their careers as educators, scholars, and professionals. We provide a robust offering of professional development opportunities for faculty to strengthen their skills in teaching strategies, outcomes-based practice, and reflective practice. Faculty develop an equity-minded and culturally responsive pedagogy that closes success gaps and fosters a commitment to excellence in education. Candidates with a foundational understanding of these skills and knowledge or a demonstrated growth mindset on these topics are strongly encouraged to apply.
Qualifications
All applicants must submit:
1. Resume
2. Detailed letter of interest (cover letter) addressing the job announcement. Please include any experiences you may have embedding equity and inclusion in your work, see below.
3. Unofficial transcripts - Your experience and skills are what matter to us. As part of our commitment to a fair hiring process, we invite you to redact any information from your transcripts that may be confidential/protected under law, including your age, date of birth, or dates of attendance/graduation.
At ACC we seek to hire candidates that demonstrate a commitment to and experience with embedding equity and inclusion into their professional role. Please address this specifically in your cover letter explaining what diversity, equity, and inclusion mean to you and how you may have incorporated these ideas into your current or previous professional responsibilities.
Additional Information
Salary Information:
The salary range for this position is $61,175 to $76,285, commensurate with education and experience. This salary is based on 166 contract days within an academic year (August to May) Salary will be pro-rated based on actual contract days worked. This is a full-time, 9-month, FLSA-exempt position. This position has been exempted from the State Classified System. provides information regarding salary placement and adjustments.
Reach out to us at if you have any questions.
ACC seeks applicants who understand and have first-hand experience working with diverse populations, which may include but are not limited to, historically marginalized populations such as people of color, LGBTQ+ community members, veterans, first generation graduates, and people with disabilities.
Notice to all Applicants
CCCS is an Equal Opportunity Employer
The Colorado Community College System believes when all human qualities are regarded with dignity and respect and when everyone has access to the individualized support they need, all will have the opportunity to thrive. In all aspects of the employment process, decisions are made based on merit, competence, performance and business need without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity or expression, pregnancy, creed, ancestry, national origin, marital status, genetic information, military status, or any other protected status in accordance with applicable law. Our Accommodations and Non-Discrimination policies, plus other helpful information, can be found publicly at
Reasonable Accommodation Statement
Arapahoe Community College provides reasonable accommodations to applicants and employees with disabilities on a case-by-case basis. If you need a reasonable accommodation for any part of the application and hiring process or during the course of employment contact Angela Johnson, Executive Director of Human Resources, at (303) #-# or
For information regarding Arapahoe Community College Security, including Clery Act / Crime Statistics for the campuses and surrounding area, please see the Arapahoe Community College Annual Security Report. For a hard copy report, please contact the ACC Campus Police Department at (303) #-#, , or Room M2600 at 5900 South Santa Fe Drive, Littleton, Colorado 80120.
At ACC, we value and uphold a commitment to a workplace that focuses on employees. Our mission is to provide innovative and responsive educational and economic opportunities in an accessible, inclusive environment that promotes success for students, employees, and the communities we serve. In addition to rewarding and meaningful work, we offer a comprehensive selection of benefits to support our employees, including:
Location : Littleton, CO
Job Type: Faculty
Job Number: 00286
Division: Instruction
Department: Department of Computer Technology
Opening Date: 08/22/2025
Closing Date: 9/19/ :59 PM Mountain
FLSA: Exempt
ACC Careers: Where You Can Move Mountains
Nestled in the foothills of the Rocky Mountains sits one of the oldest community colleges in Colorado, Arapahoe Community College. With a rich history of educational excellence, ACC embraces a culture that values diversity, individualized support, and unwavering commitment to student success, without exception.
Job Summary
Colorado has a thriving data science and data analytics sector, which drives industries ranging from national security to healthcare. Our first data-focused faculty member will grow courses and academic pathways to prepare students for dynamic careers in a rapidly evolving data informed field. The Data/AI faculty will bring relevant industry or academic research experience into the classroom setting. The ideal faculty member will have expertise working with a range of data sets (unprocessed to processed and small to big) and will support the development of new programs in data science and artificial intelligence (AI) to meet the workforce demands of Colorado's data, space and advanced technology industries.
In the first year, this faculty member will focus primarily on curriculum development and designing innovative, industry-aligned curriculum and pathways. The role emphasizes the business application of AI, data science, and analytics, ensuring that students gain skills directly relevant to workforce needs. The successful candidate will help establish new academic pathways, such as an AI Fundamentals Certificate and micro credentials, while supporting ACC's culture of innovation, excellence, and rigor. This position directly advances the College's mission of producing the workforce of the future, and will require close collaboration with faculty, administrators, and external partners to align curriculum with industry demand and emerging technologies.
The Data Analytics/Science & Artificial Intelligence Faculty position is a full-time, 9-month faculty position in the Computing Technologies Department. ACC Faculty teach 15 credits each fall and spring semester. Faculty may have the option to teach courses during the summer semester for additional compensation. Courses may be taught using both traditional and non-traditional delivery methods, including face-to-face, online, computer-aided, distance learning, self-paced, and interdisciplinary. Faculty may need to teach at any ACC campus and at a variety of times (days, evenings, and some weekends).
ACC is committed to creating a community of best practices in facilitating teaching, learning, and student success. As such, we seek faculty who will be engaged members of the college community through active service on committees, collaboration with colleagues, and who possess a commitment and passion to facilitating improved outcomes for students and communities the college serves.
ACC is dedicated to supporting our faculty throughout their careers as educators, scholars, and professionals. We provide a robust offering of professional development opportunities for faculty to strengthen their skills in teaching strategies, outcomes-based practice, and reflective practice. Faculty develop an equity-minded and culturally responsive pedagogy that closes success gaps and fosters a commitment to excellence in education. Candidates with a foundational understanding of these skills and knowledge or a demonstrated growth mindset on these topics are strongly encouraged to apply.
Qualifications
- Master's degree in business intelligence analytics, computer information systems, computer science, data analytics, data science or related field OR; Master's degree in any field plus 18 credit hours (undergraduate or graduate) in business intelligence analytics, computer information systems, computer science, data analytics, data science or related field, OR; Bachelor's degree in any field with 2 years' experience in business intelligence, information science, data analytics or related work environment, OR; equivalent experience as designated in the ACC Faculty / Instructor Qualifications Manual.
- Must be eligible for a CTE credential to teach in the discipline.
- Experience teaching and/or training in various subjects within the discipline.
- Demonstrated commitment working with and supporting students from diverse populations, which may include but are not limited to, historically marginalized populations such as people of color, LGBTQ+ community members, veterans, first generation graduates, and people with disabilities.
- Demonstrate a growth mindset regarding professional development.
- Proficiency with Microsoft Office Suite.
- Experience in facilitating equitable outcomes for customers, key stakeholders, or students using effective inclusive strategies.
- Demonstrate building successful professional relationships and working collaboratively with internal and external constituents and outside agencies.
- Participate and/or lead in professional organizations, committees and/or taskforces.
- Experience with remote and/or online teaching/training and experience developing courses for multiple delivery formats.
- Ability to develop well-defined assessment/evaluation objectives and high-performance standards aligned with expectations.
All applicants must submit:
1. Resume
2. Detailed letter of interest (cover letter) addressing the job announcement. Please include any experiences you may have embedding equity and inclusion in your work, see below.
3. Unofficial transcripts - Your experience and skills are what matter to us. As part of our commitment to a fair hiring process, we invite you to redact any information from your transcripts that may be confidential/protected under law, including your age, date of birth, or dates of attendance/graduation.
At ACC we seek to hire candidates that demonstrate a commitment to and experience with embedding equity and inclusion into their professional role. Please address this specifically in your cover letter explaining what diversity, equity, and inclusion mean to you and how you may have incorporated these ideas into your current or previous professional responsibilities.
Additional Information
Salary Information:
The salary range for this position is $61,175 to $76,285, commensurate with education and experience. This salary is based on 166 contract days within an academic year (August to May) Salary will be pro-rated based on actual contract days worked. This is a full-time, 9-month, FLSA-exempt position. This position has been exempted from the State Classified System. provides information regarding salary placement and adjustments.
Reach out to us at if you have any questions.
ACC seeks applicants who understand and have first-hand experience working with diverse populations, which may include but are not limited to, historically marginalized populations such as people of color, LGBTQ+ community members, veterans, first generation graduates, and people with disabilities.
Notice to all Applicants
- Final candidate will be subject to successful completion of a background check, and, if applicable, a motor vehicle record review.
- Former employees of the Colorado Community College System, or one of its 13 colleges, who were disciplinarily terminated or resigned in lieu of termination, must disclose this information in their application material.
- Final candidate may be required to submit unofficial transcripts to verify education.
- Direct deposit of payroll is a condition of employment.
- Arapahoe Community College participates in E-Verify.
- All ACC employees, except student employees, contribute to at a fixed percentage of their earnings and do not contribute to Social Security.
- Finalist must be willing to make Colorado their primary workplace.
CCCS is an Equal Opportunity Employer
The Colorado Community College System believes when all human qualities are regarded with dignity and respect and when everyone has access to the individualized support they need, all will have the opportunity to thrive. In all aspects of the employment process, decisions are made based on merit, competence, performance and business need without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity or expression, pregnancy, creed, ancestry, national origin, marital status, genetic information, military status, or any other protected status in accordance with applicable law. Our Accommodations and Non-Discrimination policies, plus other helpful information, can be found publicly at
Reasonable Accommodation Statement
Arapahoe Community College provides reasonable accommodations to applicants and employees with disabilities on a case-by-case basis. If you need a reasonable accommodation for any part of the application and hiring process or during the course of employment contact Angela Johnson, Executive Director of Human Resources, at (303) #-# or
For information regarding Arapahoe Community College Security, including Clery Act / Crime Statistics for the campuses and surrounding area, please see the Arapahoe Community College Annual Security Report. For a hard copy report, please contact the ACC Campus Police Department at (303) #-#, , or Room M2600 at 5900 South Santa Fe Drive, Littleton, Colorado 80120.
At ACC, we value and uphold a commitment to a workplace that focuses on employees. Our mission is to provide innovative and responsive educational and economic opportunities in an accessible, inclusive environment that promotes success for students, employees, and the communities we serve. In addition to rewarding and meaningful work, we offer a comprehensive selection of benefits to support our employees, including:
- Strong, flexible retirement benefits including 's Defined Benefit Plan or Defined Contribution Plan. Supplemental retirement plans are also available including 401(k), 403(b) and 457 plans.
- Comprehensive including medical, dental, vision, life, and flexible savings benefits. Employee assistance services such as counseling, professional coaching, financial planning, and more, are available to you and members of your household at no cost through the Colorado State Employee Assistance Program ()
- Generous including up to 90 hours of sick leave per academic year with up to 16 of those hours converted to personal leave and up to 18 hours for academic and volunteer activities.
- for employees and their eligible dependents at any community college within the Colorado Community College System or CCCOnline.
- State employees are eligible to participate in which offers discounts for retailers and services and other benefits resources.
- Employees may qualify for the Public Service Loan Forgiveness Program. Additional information about this program can be found on the website.
- New hires for full-time positions may be eligible for a relocation assistance benefit if relocating at least 100 miles to work at ACC. Information about this can be found in
View Now
9