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Intern Data Scientist Machine Learning Jobs in Virginia

Take2 Consulting, LLC

Data Scientist

Springfield, VA

Data Scientist We are seeking a highly skilled and innovative Data Scientist to join a pioneering ... Leverage machine learning algorithms and advanced statistical techniques to analyze large-scale ...

Leidos

Data Scientist - Expert

Springfield, VA · On-site

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery. * Architect end-to-end analytic workflows ...

Leidos

Data Scientist - Expert

Springfield, VA · On-site

Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery. * Architect end-to-end analytic workflows ...

VTG

Data Scientist

Chantilly, VA · On-site

Data Scientist I supports government and program teams by assisting with data analysis ... Develop and apply statistical models or machine learning techniques as appropriate * Design and ...

VTG

Data Scientist

Chantilly, VA

Data Scientist I supports government and program teams by assisting with data analysis ... Develop and apply statistical models or machine learning techniques as appropriate * Design and ...

Group Nine LLC

Data Scientist

Arlington, VA · On-site

Group Nine LLC is seeking a Data Scientist to develop and maintain data analytics solutions and machine learning algorithms. The role involves mentoring junior data scientists, enhancing the data ...

Cmu

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

RIVIDIUM

Data Scientist- Senior

Quantico, VA

The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ... The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and ...

VTG

Data Scientist

Chantilly, VA

Develop, train, and validate machine learning and statistical models * Design and implement ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

VTG

Data Scientist

Mclean, VA

Develop, train, and validate machine learning and statistical models * Design and implement ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

VTG

Data Scientist

Herndon, VA

Develop, train, and validate machine learning and statistical models * Design and implement ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

VTG

Data Scientist

Chantilly, VA · On-site

Develop, train, and validate machine learning and statistical models * Design and implement ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

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All JobsIntern Data Scientist Machine Learning JobsIntern Data Scientist Machine Learning Jobs in Virginia

Intern Data Scientist Machine Learning information

What types of projects and responsibilities can an Intern Data Scientist specializing in Machine Learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an Intern Data Scientist (Machine Learning), and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an Intern Data Scientist in Machine Learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Virginia? The most popular types of Data Scientist Machine Learning jobs in Virginia are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Virginia? For Intern Data Scientist Machine Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Virginia look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Intern Data Scientist Machine Learning jobs? Cities in Virginia with the most Intern Data Scientist Machine Learning job openings:
Intern Data Scientist Machine Learning jobs near you
Data Scientist / ML Engineer - Army (TS/SCI)

Data Scientist / ML Engineer - Army (TS/SCI)

Praescient Analytics

Arlington, VA • On-site

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

Location: Arlington, VA
Clearance Required: Active TS/SCI Clearance
Employment Type: Full-Time (W-2 or 1099)
Overview
Praescient Analytics is seeking a highly motivated Data Scientist / Machine Learning Engineer to support our Department of Defense (DoD) and national security partners. The ideal candidate will have a strong background in data science, machine learning, and software engineering, with the ability to design and implement cutting-edge solutions that transform complex datasets into actionable insights. This role requires both analytical acumen and technical creativity to solve real-world intelligence and defense challenges through the power of AI.
Responsibilities
  • Design, develop, and implement machine learning systems and predictive models to support mission-driven analytics.
  • Study and refine data science prototypes, transforming them into production-ready ML solutions.
  • Develop and optimize algorithms using supervised, unsupervised, and deep learning techniques.
  • Select appropriate datasets, data representation methods, and feature engineering strategies for each problem space.
  • Conduct data mining, statistical analysis, and model evaluation to ensure high performance and reliability.
  • Perform testing, tuning, and retraining of models to improve predictive accuracy and robustness over time.
  • Utilize data-oriented programming languages and visualization tools to translate raw data into meaningful insights.
  • Visualize and interpret data findings through dynamic dashboards, reports, and analytic visualizations.
  • Collaborate with cross-functional technical teams and mission stakeholders to integrate AI/ML solutions into operational systems.

Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
  • 5+ years of experience developing and deploying AI/ML models or data-driven applications.
  • Proficiency in Python, R, or similar data-oriented programming languages.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of data preprocessing, feature selection, and model evaluation techniques.
  • Experience with data visualization tools such as Power BI, Tableau, or custom dashboards.
  • Ability to manage and analyze large structured and unstructured datasets.
  • Excellent problem-solving skills and attention to detail.

Desired Qualifications
  • Master's degree in a quantitative or technical field.
  • Experience supporting DoD, IC, or Federal programs.
  • Familiarity with natural language processing (NLP), deep learning, or reinforcement learning techniques.
  • Experience developing automated pipelines for ML model training and deployment.
  • Understanding of cloud-based ML environments (AWS, Azure, GCP).

What you can expect from us:
• Real opportunity for career growth in an environment where your achievements will be celebrated.
• Constant collaboration with numerous teams to ensure client success.
• A team that respects and embraces your ideas and expertise.
• Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain.
• A workplace dedicated to supporting and improving public safety and government agencies.
Benefits:
• Very competitive salary based on qualifications and experience.
• Comprehensive, Company paid Aetna Health Care Medical for you (We pay your premiums and deductibles)
• 401(k) with company match
• Travel & performance incentives
• 3 weeks paid time off (plus Federal Holidays)
• $5K annual training allowance
• $500 book allowance
• Tuition reimbursement program
Praescient Analytics is a Certified Woman-Owned Small Business (WOSB) with over a decade of expertise in advanced analytics, engineering, and DevOps, specializing in transforming complex data into actionable intelligence for informed decision-making. Since 2011, we have supported over 40 organizations across diverse domains, including military intelligence operations, financial and fraud investigations, and insider threat detection.
Our team of experts-skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering-brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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