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Intern Data Scientist Machine Learning Jobs in Washington

CACI International, Inc.

Data Scientist

Alexandria, VA · On-site

The Data Scientist will leverage advanced analytics, machine learning, automation, and data fusion techniques to identify operational trends, forecast outcomes, optimize mission performance, and ...

THOMSON REUTERS

Data Scientist

Mclean, VA

The platform serves as an essential tool for investigators and leverages machine learning, computer ... As a Data Scientist, you will be responsible for selecting, developing, fine-tuning, evaluating ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

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

$105K - $215K/yr

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 ...

NALLEY CONSULTING

Data Scientist - Sr

Reston, VA · On-site

Responsibilities : • Provide data science, machine learning, and artificial intelligence support. • Conduct data engineering tasks to integrate multiple APIs, and support process automation, data ...

ThoughtStorm

Data Scientist

Arlington, VA · On-site

A minimum of four (4) years of experience in data science, machine learning, or analytics in a production or research setting. Strong mathematics background in Statistics, Graph Theory, Probability ...

New

RIVIDIUM

Data Scientist- Senior

Quantico, VA · On-site

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 ...

Cmu

Associate Data Scientist

Arlington, VA · On-site

$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 ...

Cmu

Senior Data Scientist

Arlington, VA

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 ...

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May use machine learning and statistical approaches based on the analysis of the dataset. May ...

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Showing results 21-40

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

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 popular job titles related to Intern Data Scientist Machine Learning jobs in Washington? For Intern Data Scientist Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Washington look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Washington are:
What cities in Washington are hiring for Intern Data Scientist Machine Learning jobs? Cities in Washington with the most Intern Data Scientist Machine Learning job openings:
Intern Data Scientist Machine Learning jobs near you
Data Scientist

Data Scientist

CACI International, Inc.

Alexandria, VA • On-site

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Job description

Job Title: Data Scientist
Job Category: Intelligence
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 50%
Type of Travel: Continental US
* * *
The Opportunity:
CACI is seeking a Data Scientist to support Joint Interagency Task Force 401 (JIATF 401). The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational, intelligence, and mission data into predictive insights and decision-support products. This position requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies to support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, acquisition decisions, and strategic planning efforts. The Data Scientist will leverage advanced analytics, machine learning, automation, and data fusion techniques to identify operational trends, forecast outcomes, optimize mission performance, and develop innovative analytical solutions supporting senior military and civilian leadership.
Responsibilities:
  • Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making.
  • Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.
  • Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators.
  • Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation.
  • Leverage artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments.
  • Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings.
  • Conduct exploratory data analysis, feature engineering, model validation, and performance optimization to improve analytical accuracy and operational effectiveness.
  • Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives.
  • Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities.
  • Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis.
  • Research, evaluate, and integrate emerging AI technologies, machine learning frameworks, and advanced analytical methodologies to improve mission performance.
  • Produce technical documentation, model documentation, analytical reports, executive briefings, and recommendations supporting senior military and civilian leadership.
  • Ensure analytical models comply with applicable security, governance, validation, and data integrity requirements.
  • Identify opportunities to improve AI-enabled workflows, analytical automation, predictive modeling capabilities, and enterprise decision-support systems.

Qualifications:
Required:
  • Active Top Secret/SCI Clearance.
  • MA/MS with 10+ years' experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.
  • Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise analytics and data integration platforms.
  • Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development.
  • Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications.
  • Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.
  • Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies.
  • Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources.
  • Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making.
  • Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, executive briefings, and presentation materials.
  • Ability to communicate complex analytical concepts and model outputs to senior military and civilian leadership in a clear and actionable manner.
  • Proven ability to collaborate across multidisciplinary technical and operational teams.

Desired:
  • Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
  • Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.
  • Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
  • Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, predictive maintenance, threat forecasting, or autonomous systems.
  • Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.
  • Experience supporting operational research, capability development, technology evaluations, acquisition decision-making, or advanced mission analytics within defense organizations.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$94,400 - $198,200
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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