What Jobs are available for Data Scientists in Raleigh?

Showing 193 Data Scientists jobs in Raleigh

Graduate Trainee - Data Science

27513 Raleigh, North Carolina $50000 Annually WhatJobs

Posted 25 days ago

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Job Description

intern
Our client is launching an exciting Graduate Trainee program designed for ambitious individuals looking to kick-start their careers in data science. This is a unique opportunity to gain hands-on experience, develop advanced analytical skills, and contribute to cutting-edge projects within a supportive and innovative environment. As a Graduate Trainee, you will work closely with experienced data scientists, learning to collect, clean, analyze, and interpret complex datasets to drive business insights and solutions.

Key responsibilities will involve:
  • Assisting in the development and implementation of data models and machine learning algorithms.
  • Performing data exploration, visualization, and statistical analysis to uncover trends and patterns.
  • Collaborating with teams to understand data needs and translate them into analytical tasks.
  • Cleaning, transforming, and preparing data for analysis and modeling.
  • Documenting methodologies, findings, and results clearly and concisely.
  • Learning and applying various data science tools and programming languages (e.g., Python, R, SQL).
  • Contributing to the development of reports and presentations of analytical outcomes.
  • Participating in team meetings and contributing innovative ideas.
  • Undergoing training and professional development in data science best practices.
  • Supporting senior team members on ongoing projects.

This internship program is fully remote, offering the flexibility to work from your chosen location. We provide all necessary resources and mentorship to ensure your success. This program is ideal for recent graduates or individuals with limited professional experience seeking to build a career in data science. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field is required. Strong analytical and problem-solving skills are essential. Familiarity with programming languages like Python or R is highly desirable. Excellent communication and teamwork abilities are necessary. This is a paid internship, providing a competitive stipend and valuable real-world experience. Join our dynamic team and take the first step towards an exciting career in data science.
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Junior Data Scientist - Machine Learning

27601 Raleigh, North Carolina $25 Hourly WhatJobs

Posted 4 days ago

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Job Description

intern
Our client is looking for an enthusiastic and bright Junior Data Scientist to join their innovative team in **Raleigh, North Carolina**. This is an excellent opportunity for a recent graduate or a student pursuing a degree in a quantitative field to gain hands-on experience in machine learning and data analysis. As a Junior Data Scientist, you will assist senior team members in developing and implementing data-driven solutions. You will be involved in the entire data science lifecycle, from data collection and cleaning to model building and evaluation. Responsibilities include performing exploratory data analysis, feature engineering, and assisting in the development of predictive models. You will also contribute to data visualization efforts and help communicate findings to stakeholders. This role offers a remote work arrangement, allowing you to contribute from anywhere within the US, providing unparalleled flexibility and convenience. We are seeking individuals with a strong foundation in statistics, mathematics, and computer science, along with a passion for uncovering insights from data. The ideal candidate is a quick learner, detail-oriented, and possesses strong analytical and problem-solving skills. You will work with large datasets, utilizing programming languages such as Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn). A Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field is required. Prior internship or project experience in data science or machine learning is highly preferred. Familiarity with machine learning algorithms, statistical modeling, and data visualization techniques is essential. Experience with SQL for data extraction and manipulation is a plus. Excellent communication skills, both written and verbal, are important for collaborating with team members and presenting findings. If you are eager to kickstart your career in data science and contribute to cutting-edge projects in a supportive remote environment, we encourage you to apply.

Key Responsibilities:
  • Assist in data cleaning, preprocessing, and feature engineering.
  • Conduct exploratory data analysis to identify patterns and trends.
  • Support the development and implementation of machine learning models.
  • Perform statistical analysis and hypothesis testing.
  • Create data visualizations to communicate insights effectively.
  • Collaborate with senior data scientists on research and development projects.
  • Contribute to model evaluation and performance monitoring.
  • Document methodologies and findings clearly.
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Junior Data Scientist - Machine Learning

27514 Raleigh, North Carolina $25 Hourly WhatJobs

Posted 10 days ago

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Job Description

intern
Our client, a cutting-edge AI research and development firm, is excited to offer a Junior Data Scientist internship focused on Machine Learning. This is a remote-first opportunity, perfect for aspiring data scientists looking to gain hands-on experience in a dynamic and innovative environment. As an intern, you will work closely with our senior data scientists and engineers on challenging projects involving the development and application of machine learning models. You will be involved in data cleaning, feature engineering, model training, evaluation, and deployment. The ideal candidate is a highly motivated student pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, with a strong foundation in programming (Python preferred) and a keen interest in machine learning. Your responsibilities will include assisting in the collection and preparation of large datasets, experimenting with various ML algorithms, and contributing to the interpretation and visualization of results. You will gain exposure to different machine learning techniques such as supervised and unsupervised learning, deep learning, and natural language processing. This internship provides an excellent opportunity to learn from industry experts, contribute to real-world AI solutions, and build a strong portfolio. Strong analytical and problem-solving skills, attention to detail, and excellent communication abilities are essential. We are looking for enthusiastic individuals eager to learn, collaborate, and make a tangible contribution to our cutting-edge projects. This internship offers valuable practical experience and insight into the world of data science and artificial intelligence.

Responsibilities:
  • Assist in data cleaning, preprocessing, and feature engineering for machine learning models.
  • Support the training and evaluation of various machine learning algorithms.
  • Contribute to the implementation of predictive models and AI solutions.
  • Help analyze and visualize data to identify patterns and insights.
  • Collaborate with senior data scientists on research and development projects.
  • Document code, methodologies, and findings.
  • Participate in team meetings and present findings.
  • Learn and apply new machine learning techniques and tools.
Qualifications:
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • Strong programming skills in Python.
  • Familiarity with machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Basic understanding of data analysis and statistical methods.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and teamwork skills.
  • Eagerness to learn and contribute to challenging projects.
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Junior Data Scientist - Machine Learning Focus

27601 Raleigh, North Carolina $25 Hourly WhatJobs

Posted 4 days ago

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Job Description

intern
Our client is seeking an enthusiastic and bright Junior Data Scientist with a strong interest in Machine Learning to join their innovative team as an intern. This is a fully remote position offering a fantastic opportunity to gain hands-on experience in a cutting-edge field. You will work closely with senior data scientists and engineers on real-world projects, applying machine learning techniques to solve complex business problems. Responsibilities will include data cleaning and preprocessing, feature engineering, building and training machine learning models, and evaluating their performance. You will also assist in data visualization and the interpretation of results to derive actionable insights. This role requires a solid foundation in statistical concepts, programming skills (preferably Python), and a keen eagerness to learn and grow. As this is a remote internship, you must possess excellent communication skills and the ability to work independently and manage your time effectively. You'll gain exposure to the entire data science workflow, from data acquisition to model deployment. This is an ideal opportunity for students or recent graduates looking to kickstart their career in data science and machine learning within a supportive and dynamic virtual environment. We provide mentorship and guidance to ensure a valuable learning experience. The projects you'll contribute to are critical for driving innovation and improving our client's offerings. We encourage applications from candidates who are proactive, detail-oriented, and passionate about leveraging data to uncover patterns and make predictions. This internship is designed to provide practical skills and a deep understanding of machine learning applications.

Responsibilities:
  • Assist in collecting, cleaning, and preparing large datasets for analysis.
  • Perform feature engineering and selection for machine learning models.
  • Build, train, and evaluate various machine learning models (e.g., regression, classification, clustering).
  • Implement data visualization techniques to communicate findings effectively.
  • Support senior data scientists in developing and testing predictive models.
  • Collaborate with team members on data-driven projects in a remote setting.
  • Document methodologies, code, and results clearly.
  • Stay updated on current trends and techniques in data science and machine learning.
  • Contribute to brainstorming sessions for new data analysis initiatives.

Qualifications:
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Strong foundational knowledge of statistical concepts and machine learning algorithms.
  • Proficiency in Python programming language.
  • Familiarity with data science libraries such as Pandas, NumPy, Scikit-learn.
  • Basic understanding of data visualization tools.
  • Excellent analytical and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to work independently and manage time effectively in a remote environment.
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Junior Data Scientist - Machine Learning Applications

27601 Raleigh, North Carolina $50000 Annually WhatJobs

Posted 15 days ago

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Job Description

intern
Our client is excited to offer a fully remote Junior Data Scientist internship opportunity for aspiring professionals eager to gain hands-on experience in machine learning and data analysis. This program is designed to immerse you in real-world projects, providing mentorship and exposure to cutting-edge technologies. You will work closely with our senior data science team, contributing to the development and implementation of predictive models, data visualizations, and analytical insights. This internship is an excellent stepping stone for a career in data science, offering a comprehensive learning experience from anywhere in the US. You will have the chance to apply your academic knowledge to solve practical business problems, enhancing your skills in a supportive and dynamic virtual environment.

Responsibilities:
  • Assist senior data scientists in collecting, cleaning, and pre-processing large datasets.
  • Develop and implement machine learning models for various applications, such as classification, regression, and clustering.
  • Perform exploratory data analysis to identify trends, patterns, and insights.
  • Create compelling data visualizations to communicate findings effectively to technical and non-technical audiences.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data science tasks.
  • Document methodologies, code, and results thoroughly.
  • Conduct research on new algorithms, tools, and techniques in data science and machine learning.
  • Assist in the deployment and monitoring of machine learning models in production environments.
  • Participate in team meetings, brainstorming sessions, and project reviews.
  • Contribute to the development of internal tools and frameworks for data analysis.
  • Learn and apply best practices in data management, version control (e.g., Git), and software development.
Qualifications:
  • Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Solid understanding of statistical concepts and machine learning algorithms.
  • Proficiency in programming languages such as Python (preferred) or R.
  • Familiarity with data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
  • Basic knowledge of SQL and database querying.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to work independently and manage time effectively in a remote setting.
  • Eagerness to learn and a passion for data-driven problem-solving.
  • Previous internship or project experience in data analysis or machine learning is a plus.
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Remote Junior Data Scientist - Machine Learning

27601 Raleigh, North Carolina $65000 Annually WhatJobs

Posted 24 days ago

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Job Description

intern
Our client, an innovative data analytics firm, is excited to offer a fully remote Junior Data Scientist internship focused on Machine Learning. This is an exceptional opportunity for aspiring data scientists to gain hands-on experience in building, training, and deploying machine learning models under the guidance of experienced professionals. You will contribute to real-world projects, developing your skills in data manipulation, statistical analysis, and algorithmic development, all from your remote workspace.

Responsibilities:
  • Assist senior data scientists in data preprocessing, cleaning, and feature engineering for machine learning models.
  • Explore and analyze large datasets to identify patterns, trends, and insights.
  • Implement and test various machine learning algorithms (e.g., regression, classification, clustering) using Python or R.
  • Develop and validate predictive models under supervision.
  • Assist in the visualization of data and model results to communicate findings effectively.
  • Participate in code reviews and contribute to the development of robust data science pipelines.
  • Research and stay updated on the latest advancements in machine learning and artificial intelligence.
  • Collaborate with team members on data-related challenges and contribute to problem-solving.
  • Document methodologies, code, and results clearly and concisely.
  • Gain exposure to different machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
Qualifications:
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
  • Solid understanding of fundamental machine learning concepts and algorithms.
  • Proficiency in Python programming, including libraries such as Pandas, NumPy, and Matplotlib.
  • Familiarity with SQL for data querying.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • Ability to work independently and manage tasks effectively in a remote environment.
  • A portfolio or projects demonstrating practical application of data science/machine learning concepts is highly advantageous.
  • Enthusiasm for applying data science to solve real-world problems.
This is a paid internship designed to provide a comprehensive learning experience. Join our collaborative and forward-thinking team and kickstart your career in data science.
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Lead Machine Learning Engineer

27513 Raleigh, North Carolina $140000 Annually WhatJobs

Posted 13 days ago

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Job Description

full-time
Our client is seeking a visionary Lead Machine Learning Engineer to drive the development and deployment of cutting-edge AI solutions. In this fully remote position, you will be at the forefront of innovation, designing, building, and scaling machine learning models and infrastructure that solve complex business problems. You will lead a team of talented engineers, mentor them, and foster a collaborative and high-performance engineering culture. Your expertise will span the entire ML lifecycle, from data ingestion and feature engineering to model training, validation, deployment, and monitoring. We are looking for a candidate with a proven ability to translate business needs into robust ML solutions and a deep understanding of various ML algorithms and frameworks. Responsibilities include:
  • Leading the design, development, and implementation of machine learning models and algorithms.
  • Building and maintaining scalable ML pipelines and infrastructure.
  • Collaborating with data scientists and product managers to define ML project requirements and objectives.
  • Deploying ML models into production environments and ensuring their ongoing performance.
  • Monitoring and optimizing deployed models for accuracy, latency, and cost.
  • Mentoring and guiding junior machine learning engineers.
  • Researching and evaluating new ML technologies and techniques.
  • Ensuring the ethical and responsible development of AI systems.
  • Contributing to the company's intellectual property through patents and publications.
Qualifications:
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
  • 5+ years of professional experience in machine learning engineering.
  • Strong programming skills in Python and experience with ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn.
  • Proven experience in building and deploying ML models at scale.
  • Deep understanding of various ML algorithms (e.g., deep learning, NLP, reinforcement learning, classical ML).
  • Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
  • Excellent problem-solving, analytical, and critical thinking skills.
  • Strong leadership and communication skills, with the ability to work effectively in a remote team.
  • Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
This is a unique opportunity to shape the future of AI within a dynamic and growing organization, working entirely remotely. If you are passionate about leveraging ML to solve challenging problems, we encourage you to apply. The role is located in Raleigh, North Carolina, US , but is fully remote.
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AI Research Scientist - Machine Learning

27601 Raleigh, North Carolina $135000 Annually WhatJobs Direct

Posted 1 day ago

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full-time
Our client is seeking a highly innovative AI Research Scientist specializing in Machine Learning to join their cutting-edge research team. This hybrid role, based in Raleigh, North Carolina , offers the opportunity to conduct groundbreaking research and develop novel AI solutions. You will be at the forefront of developing and implementing advanced machine learning models, algorithms, and systems that solve complex real-world problems.

Responsibilities include designing and executing research experiments, analyzing large datasets, and staying current with the latest advancements in AI and machine learning. You will collaborate with a team of talented researchers and engineers to translate theoretical concepts into practical applications. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. A strong understanding of statistical modeling, data mining, and programming languages like Python or R is required. The ability to publish research findings in top-tier conferences and journals is a significant plus.

We are looking for individuals with a Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field, coupled with a strong publication record or equivalent research experience. Exceptional analytical, problem-solving, and critical thinking skills are a must. Excellent communication and teamwork abilities are vital for collaborating effectively within our hybrid work environment in Raleigh, North Carolina . This role offers a competitive salary, excellent benefits, and the chance to contribute to pioneering AI research with real-world impact.
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Principal Machine Learning Engineer - NLP

27601 Raleigh, North Carolina $150000 Annually WhatJobs

Posted 4 days ago

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full-time
Our client is at the forefront of AI innovation and is seeking a Principal Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their world-class research and development team. This role is fully remote, offering the opportunity to work on cutting-edge projects from anywhere in the US. You will be instrumental in designing, developing, and deploying advanced NLP models and systems that power innovative applications and drive business intelligence. The ideal candidate is a visionary technologist with a Ph.D. or Master's degree in Computer Science, a strong publication record, and extensive experience in deep learning, NLP techniques, and large-scale data processing. This is a unique opportunity to shape the future of AI with a company that fosters a culture of continuous learning and innovation.

Responsibilities:
  • Lead the research, design, development, and implementation of state-of-the-art NLP models and algorithms (e.g., Transformers, LLMs, RNNs, CNNs).
  • Develop and deploy production-ready NLP systems for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
  • Collaborate closely with product managers, data scientists, and software engineers to integrate NLP capabilities into various applications and platforms.
  • Process and analyze large volumes of text data, perform feature engineering, and conduct rigorous experimentation.
  • Stay current with the latest advancements in NLP research and apply novel techniques to solve challenging problems.
  • Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.
  • Optimize model performance, scalability, and efficiency for deployment on cloud platforms (AWS, GCP, Azure).
  • Contribute to the intellectual property of the company through publications and patents.
  • Define and advocate for best practices in NLP development, model evaluation, and deployment.
  • Troubleshoot and debug complex ML systems, ensuring reliability and robustness.
Qualifications:
  • Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 7+ years of experience in machine learning, with a strong focus on NLP research and application.
  • Proven track record of successfully developing and deploying NLP models in production environments.
  • Deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
  • Expertise in programming languages such as Python, and experience with big data technologies (e.g., Spark, Hadoop).
  • Strong publication record in top-tier AI/ML conferences and journals (e.g., NeurIPS, ICML, ACL, EMNLP).
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Ability to work independently and lead technical initiatives in a remote setting.
  • Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
  • Experience with cloud computing platforms and MLOps practices is a plus.
Join a highly collaborative and innovative team that is pushing the boundaries of artificial intelligence. This remote position offers a unique chance to make a significant impact on groundbreaking AI technologies.
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Senior AI Researcher - Machine Learning

27601 Raleigh, North Carolina $140000 Annually WhatJobs

Posted 15 days ago

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full-time
Join our client , a cutting-edge AI research lab in Raleigh, North Carolina, US , as a Senior AI Researcher specializing in Machine Learning. This role offers a hybrid work arrangement, combining collaborative on-site research with the flexibility of remote work. You will be at the forefront of developing innovative AI algorithms and models, contributing to groundbreaking research and product development. Your responsibilities will include conducting original research in areas such as deep learning, natural language processing, computer vision, or reinforcement learning. You will design, implement, and evaluate machine learning models, analyze large datasets, and publish research findings in leading academic venues and internal reports. Collaboration with a team of world-class scientists and engineers is central to this role. You will also play a key role in mentoring junior researchers and contributing to the strategic direction of the AI group. We are seeking candidates with a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong publication record in top-tier AI conferences and journals. Proven expertise in Python, TensorFlow, PyTorch, or similar ML frameworks is essential. A deep understanding of machine learning theory, statistical modeling, and data science techniques is required. Excellent analytical, problem-solving, and critical thinking skills are paramount. The ability to communicate complex technical concepts clearly and effectively, both verbally and in writing, is crucial. Experience leading research projects and working effectively in a hybrid team environment is highly desirable. If you are a visionary AI researcher eager to push the boundaries of artificial intelligence, we encourage you to apply.
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