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Senior Data Analyst Machine Learning Jobs in Washington

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical contributor, working closely with federal public safety stakeholders, project leadership, business analysts ...

Air

Senior Data Analyst

Arlington, VA

$98K - $124K/yr

... and machine learning can help address them. You understand the US Government and Defense ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical contributor, working closely with federal public safety stakeholders, project leadership, business analysts ...

Air

Senior Data Analyst

Arlington, VA · On-site

$98K - $124K/yr

... and machine learning can help address them. You understand the US Government and Defense ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

ProSidian Consulting

Senior Data Analyst

Rockville, MD

$87K - $110K/yr

ProSidian Seeks a Senior Data Analyst (Contract Contingent) in Rockville, MD to support an engagement for an independent agency of the United States Federal Govt. that supports health services ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects. * Assist senior analysts with statistical modeling, machine learning, trend ...

K.L. Scott & Associates

Senior Data Analyst

Washington, DC

$97K - $122K/yr

Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical contributor, working closely with federal public safety stakeholders, project leadership, business analysts ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects. * Assist senior analysts with statistical modeling, machine learning, trend ...

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

Responsibilities The Senior Data Science Analyst shall be able to demonstrate experience and ... The development of frameworks for creating and integrating machine learning models such as ...

HazeGrayCyber

Senior Data Scientist

Washington, DC · On-site

Description Senior Data Analyst Req ID 002-25 v1.0 HazeGrayCyber, LLC is focused on delivering ... AI and Machine Learning/SAS Certified Analytics Professional * IBM Data Science Professional ...

Kanak Elite Services Inc

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Senior Data Engineer Location : Arlington, VA Hybrid (Need local candidates only within 30-40 miles ... Experience leveraging open-source tools, predictive analytics, machine learning, Advanced ...

CGI

Senior Data Analyst

Reston, VA · On-site

$89K - $112K/yr

CGI is seeking an experienced Senior Data Analyst to support large-scale data initiatives within a ... Learning opportunities and tuition assistance . Wellness and Well-being programs Skills: * Amazon ...

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All JobsData Analyst Machine Learning JobsSenior Data Analyst Machine Learning JobsSenior Data Analyst Machine Learning Jobs in Washington

Senior Data Analyst Machine Learning information

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

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

How does a Senior Data Analyst specializing in Machine Learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What are the key skills and qualifications needed to thrive as a Senior Data Analyst Machine Learning, and why are they important?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

What is a Senior Data Analyst in Machine Learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.
What are the most commonly searched types of Data Analyst Machine Learning jobs in Washington? The most popular types of Data Analyst Machine Learning jobs in Washington are:
What are popular job titles related to Senior Data Analyst Machine Learning jobs in Washington? For Senior Data Analyst Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst Machine Learning jobs in Washington look for? The top searched job categories for Senior Data Analyst Machine Learning jobs in Washington are:
What cities in Washington are hiring for Senior Data Analyst Machine Learning jobs? Cities in Washington with the most Senior Data Analyst Machine Learning job openings:
Senior Data Analyst Machine Learning jobs near you
Infographic showing various Senior Data Analyst Machine Learning job openings in Washington as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution.
Senior Data Scientist (Machine Learning & Geospatial Analytics) - TS/SCI Required

Senior Data Scientist (Machine Learning & Geospatial Analytics) - TS/SCI Required

Leidos

Springfield, VA • On-site

Full-time

Re-posted 23 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

56th of 442 rated business services

Job description

Leidos is seeking a Senior Data Scientist with strong machine learning development and coding expertise to support a customer mission in Springfield, VA. Russian language proficiency is a strong plus, but not required.
An active TS/SCI clearance with willingness to obtain a Polygraph is required to be considered.
This position is focused on advanced data science and machine learning development within a GEOINT mission space. The ideal candidate brings strong coding, model development, and analytic problem-solving skills, with the ability to integrate geospatial and multi-source data to deliver mission impact. Russian language and geospatial linguistic experience are considered a plus, but not required. The selected candidate will exploit, analyze, and produce imagery-derived intelligence products while integrating foreign geographic names data, native-language sources, and geospatial metadata to enhance analytic accuracy and mission impact.
The analyst will work closely with Intelligence Community (IC) partners, geographic names experts, and multi-INT analysts to ensure imagery-derived assessments are geospatially precise, linguistically accurate, and operationally relevant.
Accuracy, analytic rigor, and mission responsiveness are essential.
Primary Responsibilities
  • Design, develop, train, and deploy machine learning models to solve complex mission problems.
  • Write production-quality code in Python (or similar) to support model development, testing, and deployment.
  • Structure disparate and unstructured data (imagery, text, geospatial features) into usable formats for quantitative analysis and fusion.
  • Develop and maintain scalable data pipelines to support automated analytic workflows.
  • Build and apply statistical models, machine learning algorithms, and data processing techniques for pattern detection and predictive analysis.
  • Generate automated workflows to improve efficiency, reproducibility, and scalability of analytic production.
  • Aggregate existing data stores and enable natural language processing (NLP) query capabilities using existing APIs.
  • Process and analyze large volumes of unstructured data and documents to extract mission-relevant insights.
  • Integrate geospatial and multi-source data into advanced analytic workflows.
  • Translate complex quantitative findings into clear, actionable insights through visualization and storytelling.
  • Collaborate with cross-functional teams to deliver scalable, mission-focused data science solutions.
  • Brief findings clearly and confidently to technical and non-technical audiences.

Basic Qualifications
  • Active TS/SCI clearance with willingness to obtain a Polygraph.
  • Bachelor's degree and 12+ years of relevant experience, or Master's degree and 10+ years of relevant experience in Data Science, Computer Science, Analytics, or related field. Additional experience may be considered in lieu of degree.
  • Demonstrated senior-level experience designing, training, and deploying machine learning models.
  • Strong coding skills in Python (or similar), with experience building scalable and maintainable solutions.
  • Demonstrated experience applying data science methodologies (machine learning, statistical analysis, data engineering) to real-world problems.
  • Experience structuring and processing large, complex, and unstructured datasets.
  • Experience processing unstructured data and documents (e.g., text, reports, open-source content).
  • Experience developing or supporting NLP capabilities, including querying across aggregated data sources.
  • Strong understanding of data pipelines, feature engineering, and model evaluation techniques.
  • Experience working with geospatial data and integrating spatial context into analytic workflows.
  • Strong research, critical thinking, and analytic writing skills.
  • Familiarity with working in high-side (classified) environments.
  • Experience operating effectively in fast-paced, mission-driven environments both independently and as part of a team.
  • Familiarity with working in high-side (classified) environments.

Desired Qualifications
  • Russian language proficiency (ILR 2+ or higher).
  • Experience working with geospatial linguistics, toponymy, or foreign geographic data.
  • Regional expertise in Russian Federation and/or Russian-influenced geographies.
  • Experience developing machine learning models or AI-enabled analytics within national security or GEOINT environments.
  • Proficiency in Python for advanced analytics, automation, or data engineering workflows.
  • Experience developing ontologies, schemas, or knowledge graphs.
  • Experience integrating multi-INT or multi-source data into advanced analytic workflows.
  • Prior experience briefing senior government stakeholders.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
April 17, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $92,300.00 - $166,850.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

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At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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