1

Google Data Science Jobs in Virginia (NOW HIRING)

Senior Data Scientist

Mclean, VA · On-site

$120K - $180K/yr

D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field ... AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks ...

... Data Science, and Cloud Computing for both government and commercial customers. They provide cloud solutions utilizing technologies such as Spark, AWS, Azure, Cloudera, Kubernetes, and Google Cloud ...

Data Scientist - FS Poly

Chantilly, VA · On-site

$120 - $170/hr

  • Retirement

  • PTO

... Data Science, and Cloud Computing for both government and commercial customers. They provide cloud solutions utilizing technologies such as Spark, AWS, Azure, Cloudera, Kubernetes, and Google Cloud ...

New

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Google Cloud (preferred), AWS, or Azure * MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature ...

Data Scientist - TS/SCI

Charlottesville, VA · On-site

$120 - $170/hr

  • Medical

  • Retirement

  • PTO

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or ... Familiarity with cloud environments such as AWS, Azure, or Google Cloud. * Experience building AI ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or ... Google Cloud (preferred), AWS, or Azure * MLOps: MLflow, Kubeflow, Vertex AI Pipelines, Feature ...

Senior Data Scientist

Arlington, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... Google Cloud environment. In support of the Data Literacy Program, the Senior Data Scientist will ... Evangelize within company the capabilities and opportunities that data science and advanced ...

Data Scientist, Mid

Springfield, VA · On-site

$77.60 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

Experience in data science, applied analytics, or ML. * Experience working with geospatial or ... Professional certifications such as Google Professional Machine Learning Engineer, Azure Data ...

Mid Data Scientist

Springfield, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

You Have: * Experience in data science, applied analytics, or ML * Experience working with ... Professional Certification s such as Google Professional Machine Learning Engineer, Azure Data ...

Data Scientist, Mid

Springfield, VA

  • Medical

  • Life

  • Retirement

  • PTO

Experience in data science, applied analytics, or ML * Experience working with geospatial or ... Professional Certifications such as Google Professional Machine Learning Engineer, Azure Data ...

Data Scientist, Mid

Springfield, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Experience in data science, applied analytics, or ML * Experience working with geospatial or ... Professional Certifications such as Google Professional Machine Learning Engineer, Azure Data ...

Data Scientist, Mid

Springfield, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Experience in data science, applied analytics, or ML * Experience working with geospatial or ... Professional Certifications such as Google Professional Machine Learning Engineer, Azure Data ...

Cleared Data Scientist (Multiple Levels)

Chantilly, VA · On-site

$146K - $228K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Proficiency in data science tools and technologies such as Python, SQL/PostgreSQL, Spark, and Git (NiFi is a plus) * Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP ...

AI and ML Data Scientist

Mclean, VA · On-site

$77.60 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

On our team, you'll use your AI, data science, and software development skills to create ... Azure, Google Cloud, Databricks, Kubernetes, Security+, or similar Certification Clearance ...

Showing results 21-40

Google Data Science information

See Virginia salary details

$23.8K

$112.7K

$195K

How much do google data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for google data science in Virginia is $112,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,967.00 and $141,503.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are the most commonly searched types of Google Data Science jobs in Virginia?

The most popular types of Google Data Science jobs in Virginia are:

What job categories do people searching Google Data Science jobs in Virginia look for?

The top searched job categories for Google Data Science jobs in Virginia are:

What cities in Virginia are hiring for Google Data Science jobs?

Cities in Virginia with the most Google Data Science job openings:

Infographic showing various Google Data Science job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,749 per year, or $54.2 per hour.

Senior Data Scientist

Steampunk

Mclean, VA • On-site

$120K - $180K/yr

Full-time

Re-posted yesterday


Job description

Overview

We are seeking a Senior Data Scientist to lead the design, development, and deployment of advanced analytical models and machine learning solutions that drive mission and business impact. This role requires deep expertise in statistical modeling, feature engineering, ML experimentation, and applied problem solving. The Senior Data Scientist will lead project workstreams, guide modeling strategy, mentor junior team members, and partner with engineering, product, and mission stakeholders to translate analytical insights into actionable outcomes. 

Contributions
  • Lead end-to-end development of predictive and analytical models, including problem framing, hypothesis development, data exploration, feature engineering, model training, and model evaluation. 

  • Architect and implement advanced ML techniques such as ensemble models, deep learning, natural language processing, time-series models, or anomaly detection as appropriate for mission needs. 

  • Conduct rigorous model diagnostics, error analysis, and explainability studies to ensure reliability, fairness, and transparency. 

  • Collaborate with Data Engineers and MLOps/LLMOps teams to operationalize models, including pipeline automation, monitoring, drift detection, and retraining strategies. 

  • Translate complex model outputs into clear insights, stories, and recommendations for technical and non-technical audiences, including executives and mission stakeholders. 

  • Partner with cross-functional teams-including product, UX, and domain SMEs-to define requirements, refine model behavior, and incorporate human-centered design principles into analytical workflows. 

  • Lead experimentation cycles, evaluating new modeling approaches, algorithms, and data sources to continuously improve solution performance. 

  • Ensure high-quality, reproducible work through documentation, code reviews, version control, experiment tracking, and adherence to engineering best practices. 

  • Mentor Associate and mid-level Data Scientists, providing guidance on modeling techniques, coding practices, and project execution. 

  • Stay current on modern machine learning techniques, cloud-native analytics tools, and emerging trends in data science to shape strategy and elevate team capabilities. 

  • You will contribute to the growth of our AI & Data Exploitation Practice! 

Qualifications
  • Ability to hold a position of public trust with the U.S. government. 

  • Bachelor's, Master's, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 

  • 5+ years of experience designing, building, and deploying machine learning or advanced analytics solutions. 

  • Strong proficiency in Python and data science libraries (Pandas, NumPy, scikit-learn) with hands-on experience in deep learning or advanced ML frameworks (e.g., PyTorch, TensorFlow, XGBoost). 

  • Proven ability to lead data science workstreams and mentor junior practitioners. 

  • Experience using SQL and working with structured, semi-structured, or unstructured datasets at scale. 

  • Familiarity with cloud platforms (AWS, Azure, GCP) and modern ML development environments (Databricks, SageMaker, Azure ML Studio). 

  • Strong grounding in statistics, probability, experimental design, and model validation methodologies. 

  • Effective communication skills with the ability to explain highly technical concepts to non-technical audiences. 

  • Experience collaborating with product teams, engineers, and mission stakeholders to define and deliver data-driven solutions. 

  • Understanding of responsible AI principles, including fairness, explainability, bias mitigation, and reproducibility. 

  • Preferred certifications: AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer, Databricks Machine Learning Professional. 

About steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $120,000 to $180,000.  The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here. 

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors.  Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges.  As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program. 

Employment Type: OTHER