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Senior Data Science Analytics Jobs in Virginia (NOW HIRING)

Senior Data Scientist

Alexandria, VA · Hybrid

$131K - $237K/yr

As a Senior Data Scientist, you will : * Lead the design, development, and deployment of advanced ... degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics ...

Senior Data Scientist

Chantilly, VA · On-site

$154K - $278K/yr

Leidos is seeking a Senior Data Scientist to provide technical leadership and advanced analytics ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

SteerBridge is looking for a Senior Data Scientist to evaluate multi-dimensional aviation global ... Provide guidance on best practices and industry standards across data science and analytics, data ...

Senior Data Scientist

Vienna, VA · On-site

$161K - $195K/yr

SteerBridge is looking for a Senior Data Scientist to evaluate multi-dimensional aviation global ... Provide guidance on best practices and industry standards across data science and analytics, data ...

Senior Data Scientist

Chantilly, VA · On-site

$154K - $278K/yr

Leidos is seeking a Senior Data Scientist to provide technical leadership and advanced analytics ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

Senior Data Scientist

Vienna, VA · On-site

$161K - $195K/yr

SteerBridge is looking for a Senior Data Scientist to evaluate multi-dimensional aviation global ... Provide guidance on best practices and industry standards across data science and analytics, data ...

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and ... science projects, preferably in areas such as risk modeling, real-time analytics, performance ...

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

The Senior Data Scientist will lead complex analytics efforts across the full solution lifecycle ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

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Showing results 1-20

Senior Data Science Analytics information

What is the highest paying job in data analytics?

In data analytics, senior roles such as Chief Data Officer, Data Science Director, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, big data tools, and strategic decision-making, and they typically involve leadership responsibilities and extensive experience.

What is the difference between Senior Data Science Analytics vs Data Analyst?

AspectSenior Data Science AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learningBachelor's degree in Data, Statistics, or related fields; often entry-level or junior roles
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, small businesses, entry-level roles across industries

Senior Data Science Analytics professionals focus on complex modeling and predictive analytics, often requiring advanced skills and experience. Data Analysts typically handle data collection, cleaning, and basic reporting. While both roles work with data, Senior Data Science Analytics roles involve more technical expertise and strategic insights, making them suitable for experienced professionals in data-driven industries.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $100,000 to $130,000 annually, depending on factors such as industry, location, experience, and company size. Advanced skills in programming, data visualization, and statistical analysis can contribute to higher compensation in this role.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data science analyst; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, along with practical experience and continuous learning. Employers value expertise and problem-solving ability over age alone.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for skilled analysts to interpret results, develop models, and communicate findings remains essential in data science analytics roles.
What are the most commonly searched types of Data Science Analytics jobs in Virginia? The most popular types of Data Science Analytics jobs in Virginia are:
What cities in Virginia are hiring for Senior Data Science Analytics jobs? Cities in Virginia with the most Senior Data Science Analytics job openings:
Data Scientist (Senior) ML/Russian - TS/SCI

Data Scientist (Senior) ML/Russian - TS/SCI

Wiser (Tennessee)

Springfield, VA • On-site

Full-time

Posted 3 days ago


Job description

Data Scientist - TS/SCI Cleared

Location: Springfield, VA

Required Clearance: Top Secret/SCI Security Clearance

Wiser offers innovative solutions to clients in the public, private, and government sectors. We combine technology and expertise to develop inventive solutions that deliver quality results and aid in critical decision making. With the flexibility and efficiency of a small business, we provide nimble responsiveness with the low risk and strong performance experience of an established GEOINT and Geospatial service provider. 

We are 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 a requirement. 

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.

Minimum Qualifications

  • U.S. Citizen
  • Active Top-Secret/SCI security clearance at time of application and willingness to complete a CI poly upon request.
  • 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.

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.

Work Environment

Work is within a team environment and will be conducted on site in Springfield, VA.

*Candidates are encouraged to submit a resume that explicitly addresses each of the requirements listed above.

Wiser Imagery Services employs personnel within the states of Alabama, Florida, Georgia, Illinois, Indiana, Maryland, Missouri, North Carolina, North Dakota, Ohio, Pennsylvania, Tennessee, Texas, Virginia, and West Virginia.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

To comply with Federal law, Wiser Imagery Services participates in E-Verify. Successful candidates must pass the E-Verify process upon hire.

Wiser Imagery Services is a drug-free workplace.

We respectfully request not to be contacted by recruiters and/or staffing agencies.