11 Data Scientists jobs in Albuquerque
Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote
Posted 2 days ago
Job Viewed
Job Description
Job Description
Job Summary
Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.
Job Duties
-
Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
-
AI Model Deployment, Monitoring & Model Governance: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements.
-
Innovation Projects: Lead pilot projects to test and implement new AI technologies within the organization
-
Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
-
Machine Learning Model Development : Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
-
Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
-
RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
-
Model Fine-Tuning : Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
-
Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
-
Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
-
Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
-
Mentors, coaches, and provides guidance to newer data scientists.
-
Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
-
Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
-
Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.
-
Use a broad range of tools and techniques to extract insights from current industry or sector trends
Job Qualifications
REQUIRED EDUCATION:
Master's Degree in Computer Science, Data Science, Statistics, or a related field
REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:
-
10+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
-
Knowledge of big data technologies (e.g., Hadoop, Spark)
-
Familiar with relational database concepts, and SDLC concepts
-
Demonstrate critical thinking and the ability to bring order to unstructured problems
-
Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
-
Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
-
Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
-
RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
-
Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
-
Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
-
Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
-
Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
PREFERRED EDUCATION:
PHD or additional experience
PREFERRED EXPERIENCE:
-
Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
-
Familiarity with natural language processing (NLP) and computer vision techniques.
#PJCorp2
#LI-AC1
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $117,731 - $275,491 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote
Posted 2 days ago
Job Viewed
Job Description
Job Description
Job Summary
Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.
Job Duties
-
Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
-
AI Model Deployment, Monitoring & Model Governance: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements.
-
Innovation Projects: Lead pilot projects to test and implement new AI technologies within the organization
-
Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
-
Machine Learning Model Development : Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
-
Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
-
RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
-
Model Fine-Tuning : Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
-
Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
-
Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
-
Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
-
Mentors, coaches, and provides guidance to newer data scientists.
-
Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
-
Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
-
Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.
-
Use a broad range of tools and techniques to extract insights from current industry or sector trends
Job Qualifications
REQUIRED EDUCATION:
Master's Degree in Computer Science, Data Science, Statistics, or a related field
REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:
-
10+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
-
Knowledge of big data technologies (e.g., Hadoop, Spark)
-
Familiar with relational database concepts, and SDLC concepts
-
Demonstrate critical thinking and the ability to bring order to unstructured problems
-
Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
-
Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
-
Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
-
RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
-
Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
-
Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
-
Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
-
Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
PREFERRED EDUCATION:
PHD or additional experience
PREFERRED EXPERIENCE:
-
Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
-
Familiarity with natural language processing (NLP) and computer vision techniques.
#PJCorp2
#LI-AC1
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $117,731 - $275,491 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote
Posted 2 days ago
Job Viewed
Job Description
Job Description
Job Summary
Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.
Job Duties
-
Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
-
AI Model Deployment, Monitoring & Model Governance: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements.
-
Innovation Projects: Lead pilot projects to test and implement new AI technologies within the organization
-
Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
-
Machine Learning Model Development : Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
-
Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
-
RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
-
Model Fine-Tuning : Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
-
Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
-
Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
-
Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
-
Mentors, coaches, and provides guidance to newer data scientists.
-
Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
-
Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
-
Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.
-
Use a broad range of tools and techniques to extract insights from current industry or sector trends
Job Qualifications
REQUIRED EDUCATION:
Master's Degree in Computer Science, Data Science, Statistics, or a related field
REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:
-
10+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
-
Knowledge of big data technologies (e.g., Hadoop, Spark)
-
Familiar with relational database concepts, and SDLC concepts
-
Demonstrate critical thinking and the ability to bring order to unstructured problems
-
Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
-
Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
-
Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
-
RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
-
Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
-
Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
-
Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
-
Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
PREFERRED EDUCATION:
PHD or additional experience
PREFERRED EXPERIENCE:
-
Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
-
Familiarity with natural language processing (NLP) and computer vision techniques.
#PJCorp2
#LI-AC1
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $117,731 - $275,491 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote
Posted 1 day ago
Job Viewed
Job Description
Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote Join to apply for the Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote role at Molina Healthcare Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote Join to apply for the Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote role at Molina Healthcare Job Summary Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience. Job Description Job Summary Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience. Job Duties Research and Development: Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies. AI Model Deployment, Monitoring & Model Governance: Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements. Innovation Projects: Lead pilot projects to test and implement new AI technologies within the organization Data Analysis and Interpretation: Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making. Machine Learning Model Development: Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning. Agentic Workflows Implementation: Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities. RAG Pattern Utilization: Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs. Model Fine-Tuning: Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications. Data Cleaning and Preprocessing: Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling. Collaboration: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes. Documentation and Reporting: Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders. Mentors, coaches, and provides guidance to newer data scientists. Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives. Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions. Use a broad range of tools and techniques to extract insights from current industry or sector trends Job Qualifications REQUIRED EDUCATION: Master’s Degree in Computer Science, Data Science, Statistics, or a related field Required Experience/Knowledge, Skills & Abilities 10+ years’ work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered Knowledge of big data technologies (e.g., Hadoop, Spark) Familiar with relational database concepts, and SDLC concepts Demonstrate critical thinking and the ability to bring order to unstructured problems Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks. Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations. RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs. Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics. Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively. Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes. Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges. Preferred Education PHD or additional experience Preferred Experience Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models. Familiarity with natural language processing (NLP) and computer vision techniques. #PJCorp2 To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V. Pay Range: $117,731 - $75,491 / ANNUAL Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Hospitals and Health Care Referrals increase your chances of interviewing at Molina Healthcare by 2x Sign in to set job alerts for “Data Scientist” roles. Space Weather Impact Scientific Software Engineer Albuquerque, NM $150 000.00- 200,000.00 2 days ago Albuquerque, NM 90,000.00- 160,000.00 2 weeks ago Albuquerque, NM 175,000.00- 230,000.00 3 days ago Albuquerque, NM 180,000.00- 215,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote
Posted 5 days ago
Job Viewed
Job Description
**Job Summary**
Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.
**Job Duties**
- **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
- **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements.
- **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization
- **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
- **Machine Learning Model Development** : Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
- **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
- **Model Fine-Tuning** : Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
- **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
- **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
- **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
- Mentors, coaches, and provides guidance to newer data scientists.
- Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
- Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
- Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends
**Job Qualifications**
**REQUIRED EDUCATION:**
Master's Degree in Computer Science, Data Science, Statistics, or a related field
**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**
- 10+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
- Knowledge of big data technologies (e.g., Hadoop, Spark)
- Familiar with relational database concepts, and SDLC concepts
- Demonstrate critical thinking and the ability to bring order to unstructured problems
- **Technical Proficiency:** Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
- **Statistical Analysis:** Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
- **Experience with Agentic Workflows:** Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
- **RAG Techniques:** Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
- **Model Fine-Tuning Expertise:** Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
- **Data Visualization:** Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
- **Database Management:** Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
- **Problem-Solving Skills:** Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
**PREFERRED EDUCATION:**
PHD or additional experience
**PREFERRED EXPERIENCE:**
- Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
- Familiarity with natural language processing (NLP) and computer vision techniques.
#PJCorp2
#LI-AC1
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $117,731 - $275,491 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote
Posted 5 days ago
Job Viewed
Job Description
**Job Summary**
Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.
**Job Duties**
- **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
- **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements.
- **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization
- **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
- **Machine Learning Model Development** : Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
- **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
- **Model Fine-Tuning** : Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
- **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
- **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
- **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
- Mentors, coaches, and provides guidance to newer data scientists.
- Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
- Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
- Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends
**Job Qualifications**
**REQUIRED EDUCATION:**
Master's Degree in Computer Science, Data Science, Statistics, or a related field
**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**
- 10+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
- Knowledge of big data technologies (e.g., Hadoop, Spark)
- Familiar with relational database concepts, and SDLC concepts
- Demonstrate critical thinking and the ability to bring order to unstructured problems
- **Technical Proficiency:** Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
- **Statistical Analysis:** Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
- **Experience with Agentic Workflows:** Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
- **RAG Techniques:** Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
- **Model Fine-Tuning Expertise:** Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
- **Data Visualization:** Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
- **Database Management:** Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
- **Problem-Solving Skills:** Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
**PREFERRED EDUCATION:**
PHD or additional experience
**PREFERRED EXPERIENCE:**
- Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
- Familiarity with natural language processing (NLP) and computer vision techniques.
#PJCorp2
#LI-AC1
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $117,731 - $275,491 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Postdoctoral Appointee - Machine Learning Materials Chemistry - Onsite (Albuquerque)
Posted 4 days ago
Job Viewed
Job Description
Join to apply for the Postdoctoral Appointee - Machine Learning Materials Chemistry - Onsite role at Sandia National Laboratories
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About Sandia
Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
- Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
- Extraordinary co-workers
- Some of the best tools, equipment, and research facilities in the world
- Career advancement and enrichment opportunities
- Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
- Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:
- Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
- Extraordinary co-workers
- Some of the best tools, equipment, and research facilities in the world
- Career advancement and enrichment opportunities
- Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
- Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
What Your Job Will Be Like
Sandia's Ceramics and Materials Physics Department is seeking a dedicated Postdoctoral Scientist with expertise in chemistry, data science, and machine learning to join the team to develop novel software for efficient materials characterization and enabling new materials diagnostics.
On any given day, you may be called on to:
- investigate applying machine learning algorithms to gain understanding of aging experiments towards the identification of chemical structures and materials aging artifacts
- demonstrate ability for data management with multi-modal components
- prepare technical material for presentation and/or publication
- provide mentorship for students and other co-workers
Due to the nature of the work the selected applicant must be able to work onsite in Albuquerque, New Mexico Relocation will be provided for those that qualify.
Qualifications We Require
- Possess, or pursuing, a PhD in Chemistry, Mathematics, or closely related STEM field PhD must be conferred within five years prior to employment
- Experience conducting and communicating independent research as evidenced by technical accomplishment through publications in peer-reviewed journals and/or presentations at scientific conferences
- Experience in machine learning research and data science algorithm applications in materials chemistry, imaging and spectroscopy datasets
- Proven experience employing machine learning techniques including but not limited to autoencoders, neural networks, and ensemble techniques utilizing an object-oriented programming language such as python
- Able to acquire and maintain a DOE Q-level clearance
- Proven experience developing software for specialized use with interested collaborators, tailored to their desired outcomes
- Experience working with clients in an eclectic environment, and ability to communicate effectively technical work to non-experts
- Willingness to mentor student interns and collaborate with multi-disciplinary experts
- Effective time-management skills for balancing multiple projects at a time
The Ceramics & Materials Physics Department (1816) provides innovation in the design, synthesis and development of advanced, multifunctional materials to satisfy unique needs in electronic, electrochemical, thermochemical, optical, catalytic, and structural applications. We control chemical and structural characteristics, from the nanoscale to the macroscale, in organic, inorganic and hybrid systems to explore new material constructs and strategies aimed at enhancing material performance. The multidisciplinary department conducts research and development for national security, energy & climate, and nuclear deterrence, partnering with government, industry, and academic institutions. We work closely with component design and production groups to ensure electronic materials and devices function as intended. Research thrusts include passive and active materials for electronic, electromechanical, and photonic systems; materials for extreme environments (thermal, radiation, electric field, shock); and materials for renewable energy processes.
Posting Duration
This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time.
Security Clearance
Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.
Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.
Eeo
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
NNSA Requirements For MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.
Position Information
This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.
Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.
Job ID: 695716
Job Family: 92
Regular/Temporary Position: T
Full/Part-Time Status: FSeniority level
- Seniority level Not Applicable
- Employment type Full-time
- Job function Research, Analyst, and Information Technology
- I
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Senior Data Scientist
Posted 8 days ago
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Job Description
As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*Comscore, Total Visits, March 2024)
**Day to Day**
The Recruit Global Family (RGF) Acceleration organization is looking for a product minded Senior Data Scientist with expertise in driving end-to-end product development spanning from defining business requirements to shipping solutions to the customers. This team's primary focus lies in making the temporary staffing businesses in our sibling companies more efficient, by curating matching solutions between temp jobseekers and temp jobs with ML / AI technologies. This is a unique opportunity to transform traditional and oftentimes quite manual businesses with cutting-edge technologies, which no one else in the world has achieved yet.
**Responsibilities**
**Leadership & Strategy** :
+ Represent RGF Acceleration organization as a data science leader in the US, interfacing with various contributors including front-line recruiters at call centers, sibling company executives, product managers and other engineers in our org, and other relevant indeed teams.
+ Develop and drive the data science strategy for improving matching quality across our organization
+ Formulate strategies for our temp staffing sibling companies on "data hygiene" to ensure data is "AI ready" for advanced modeling, addressing known deficiencies in temp jobseeker, temp jobs, and interaction data.
**Guidance** **on Data Science Excellence** **:**
+ Provide the teams with data science best practices such as effective modeling approaches, robust training data curation, experimentation, importance of manually inspecting data, etc.
+ Guide teams in building effective feedback loops for model iteration.
**Direct Contribution** :
+ Directly contribute to projects, including improving matching models.
+ Understand existing codebases and be capable of implementing necessary code changes autonomously.
**Skills/Competencies**
+ Bachelor's in Computer Science, Mathematics, or related fields
+ 5+ years of industry experience as a Software Engineer, Data Scientist, or Machine Learning Engineer
+ Prior success delivering machine learning solutions that had a significant business impact, driving it from end-to-end
+ Excellent written and verbal communication in English, effective with relevant partners in any functional area spanning from recruiters at call centers to senior executives
+ Track record of leading a small group of people towards a shared goal
+ Experience with development of search engines or recommendation systems
**Salary Range Transparency**
Austin, Metro Area 139,000 - 201,000 USD per year
New York City, Metro Area. 147,000 - 213,000 USD per year
Seattle, Metro Area 143,000 - 207,000 USD per year
San Francisco, Metro Area 155,000 - 225,000 USD per year
US Remote 139,000 - 201,000 USD per year
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The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.
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Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.
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**Reference ID:** **46023**
**The deadline to apply to this position is July 15, 2025. Job postings may be extended at the hiring team's discretion based on applicant volume.**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Reference ID: 46023
Data Scientist -Adobe- Expert
Posted 11 days ago
Job Viewed
Job Description
What you will do:
+ Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products.
+ Specialize in building data pipelines, developing machine learning models, and performing advanced analytics and statistical analysis.
+ Build, evaluate and optimize models which incorporate machine learning, artificial intelligence, and Generative AI.
+ Collaborate with internal and external stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue.
+ Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation.
+ Build expert knowledge of the various data sources brought together for audience segmentation solutions - survey/panel data, 3rd-party data (demographics, psychographics, lifestyle segments), media content activity (TV, Digital, Mobile), and product purchase or transaction data.
+ Work with Product and Engineering teams to transition development projects to production systems.
+ Prepare and present compelling analytical presentations and effectively communicate complex concepts to marketing and business audiences.
+ Provide mentorship and guidance to data scientists where necessary.
**Required Skills:**
+ **Expert-level experience with Adobe's analytics tools (e.g.,** **Adobe Journey Analytics** **) and third-party SaaS tools (e.g., Databricks, R).**
+ Experience with applying statistics and data science tools on large datasets.
+ Deep knowledge of supervised vs. unsupervised learning algorithms, including neural networks/deep learning, SVM, decision trees (bagging, random forests, boosting), clustering, regression, and dimensionality reduction techniques.
+ Specialization in Generative AI.
+ Expert at model training approaches, hyperparameter tuning, tuning learning rates, and model evaluation approaches.
+ Extensive experience with data preparation (normalization, scaling, etc.) for modeling.
+ Proficient in Python/R, APIs, Excel, LLMs, SQL, and Power Automate.
+ Exposure to Spark/PySpark systems in a distributed computing environment.
+ SQL mastery, including techniques for writing efficient code over large datasets.
+ Ability to leverage critical data-driven thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models.
+ Excel at handling both structured and unstructured data.
+ Strong analytical skills and proven track record in deploying innovative SaaS solutions in the tech industry.
+ Attention to detail and time management delivering high-quality work for multiple projects across several engagements while meeting deadlines.
+ Bachelor's Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Master's Degree in a quantitative field and relevant work experience.
**Qualifications:**
+ Bachelor's Degree in a quantitative field (Data Science, Statistics, Math) or related degree programs and 5+ years of relevant work experience OR Master's Degree in a quantitative field and relevant work experience.
+ Proven experience in developing and implementing machine learning models in a business environment.
+ Demonstrated ability to handle complex data sets and perform sophisticated data analysis.
+ Strong programming skills in Python and/or R.
+ Experience with APIs and integrating them into data solutions.
+ Advanced proficiency in Excel for data analysis and reporting.
+ Familiarity with Large Language Models (LLMs) and their applications.
+ Strong SQL skills for database management and data manipulation.
+ Strong problem-solving skills and ability to think creatively and critically about data.
+ Excellent communication skills, both written and verbal, with the ability to present complex data insights to non-technical stakeholders.
+ Ability to work collaboratively in a team environment and mentor junior data scientists.
+ Self-motivated with a strong desire to learn and stay updated with the latest advancements in data science and machine learning technologies.
**Primary Location City/State:**
Homebased - Conway, Arkansas
**Additional Locations (if applicable):**
Acxiom is an equal opportunity employer, including disability and protected veteran status (EOE/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.
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We are leaders in helping brands achieve the number one mantra for every business - know your customer. For fifty years, we've helped marketers deal with a fast-changing future of growing channels, data and technology. By understanding the customer, marketers can communicate with relevance everywhere and drive better customer experiences that build a better brand and, in turn, better business.
We're one of the marketing industry's most experienced, respected and forward-thinking leaders. For nearly fifty years, we've helped the world's best marketers understand their customers so that they can reach people with relevance rather than randomness. Our products and solutions form the data foundation that make it possible for marketers to drive better customer experiences and meaningful interactions at scale across every channel.
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Senior Data Scientist - Algorithm Architect
Posted 5 days ago
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Job Description
We now have an exciting opportunity for a Senior Data Scientist specializing in algorithm architectures to join the Maximus AI Accelerator supporting the enterprise at large. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.
You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. Additionally, you will be responsible for supporting the development of new and novel algorithms that ensure the responsible deployment of AI across the enterprise and support the development of data driven decision making methodologies. This role requires strong systems thinking, problem-solving abilities, mathematics, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.
This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)
Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning.
- Develop mathematically rigorous process improvement procedures.
- Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
What You Will Do:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning.
- Develop mathematically rigorous process improvement procedures.
- Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):
- Professional Programming experience (e.g. Python, R, etc.)
- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.
- Experience with API programming
- Experience with Linux
- Experience with Statistics
- Experience with Linear Algebra and Calculus
- Experience applying mathematical principles to real world problems
- Experience with Machine Learning
- Experience working as a contributor on a team
Minimum Education requirement:
- BS in a quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.)
Years of Required Work-Related Experience:
- 3+ yrs experience in Artificial Intelligence and Machine Learning
- 3+ yrs experience in Software Development
- 3+ yrs of Mathematical Modeling
Required Certifications:
- None
Minimum Requirements
- Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience.
Preferred Key Skills and Abilities (not contractually required):
- Masters in quantitative discipline
- Experience developing machine learning or signal processing algorithms:
- Ability to leverage mathematical principles to model new and novel behaviors.
- Ability to leverage statistics to identify true signals from noise or clutter
- Experience working as an individual contributor in AI
- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.
- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles
- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.
- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.
- Use of a variety of programming languages, including but not limited to Python/Java and frontend frameworks for POC demos and dashboarding
- Use and development of program automation, CI/CD, DevSecOps, and Agile
- Experience with deep learning model architecture development and philosophy
- Cloud certifications (AWS, Azure, or GCP)
- 5+ yrs of related experience in AI, advanced analytics, computer science, mathematical modeling, or software development.
- Python Experience with TensorFlow, PyTorch, and Pandas
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Minimum Salary
$
123,440.00
Maximum Salary
$
180,000.00