What Jobs are available for Data Scientists in Raleigh?
Showing 193 Data Scientists jobs in Raleigh
Graduate Trainee - Data Science
Posted 25 days ago
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Job Description
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
Posted 4 days ago
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Job Description
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
Posted 10 days ago
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Job Description
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.
- 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
Posted 4 days ago
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Job Description
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
Posted 15 days ago
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Job Description
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.
- 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
Posted 24 days ago
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Job Description
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).
- 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.
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Lead Machine Learning Engineer
Posted 13 days ago
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Job Description
- 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.
- 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.
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AI Research Scientist - Machine Learning
Posted 1 day ago
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Job Description
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
Posted 4 days ago
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Job Description
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.
- 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.
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Senior AI Researcher - Machine Learning
Posted 15 days ago
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