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Google Internship Data Science Jobs in Springfield, VA

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

AI and Data Science Engineer III

Rosslyn, VA · On-site

$130K - $156K/yr

As an AI and Data Science Engineer III, you will serve as a technical leader supporting advanced ... Google Cloud Platform (GCP) * Active Top Secret security clearance * Ability to travel 30%, on ...

Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

... science preferred * Minimum of 4 to 6 years relevant experience, including internships, part-time ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

... science preferred * Minimum of 4 to 6 years relevant experience, including internships, part-time ... Strong data visualization and data "storytelling" skills * Analytics experience in finance ...

Leverage 3+ years (Level II) or 5+ years (Level III) of relevant data science experience * Hold or pursue certifications such as CAP, AWS Machine Learning Specialty, or Google Professional Data ...

Leverage 3+ years (Level II) or 5+ years (Level III) of relevant data science experience * Hold or pursue certifications such as CAP, AWS Machine Learning Specialty, or Google Professional Data ...

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 ...

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 ...

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...

... data science and engineering teams to inform the development of novel testing approaches and automated infrastructure, ensuring your insights scale effectively across Google's ecosystem. This ...

... 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 ...

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 ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

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 ...

Showing results 21-40

Google Internship Data Science information

See Springfield, VA salary details

$12

$23

$43

How much do google internship data science jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for google internship data science in Springfield, VA is $23.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Google data science intern, and why are they important?

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What types of projects does a data science intern typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

What is a Google internship in data science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

What is the difference between Google Internship Data Science vs Google Data Analyst Internship?

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

What are popular job titles related to Google Internship Data Science jobs in Springfield, VA? For Google Internship Data Science jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Google Internship Data Science jobs in Springfield, VA look for? The top searched job categories for Google Internship Data Science jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Google Internship Data Science jobs? Cities near Springfield, VA with the most Google Internship Data Science job openings:
Infographic showing various Google Internship Data Science job openings in Springfield, VA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $48,893 per year, or $23.5 per hour.

Data Scientist

Steampunk

Mclean, VA • On-site

$125K - $160K/yr

Other

Re-posted 28 days ago


Job description

Overview
We are seeking aData Scientist to design, build, and deliver predictive analytics, machine learning models, and data-driven insights that support mission and business outcomes. This role requires strong analytical and modeling skills, hands-on experience with ML frameworks, and the ability to collaborate across engineering, data, and product teams. The Data Scientist will contribute to the full lifecycle of model development, from data exploration and feature engineering to model training, evaluation, and deployment, while supporting the articulation of insights and recommendations to technical and non-technical stakeholders.
Contributions
  • Conduct exploratory data analysis (EDA) to uncover trends, identify data quality issues, and determine modeling opportunities.
  • Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries.
  • Perform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance.
  • Evaluate models using appropriate statistical methods and performance metrics, documenting findings and informing iterative improvements.
  • Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate, complete, and consistent.
  • Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production environments or decision-support applications.
  • Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders.
  • Support human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback.
  • Contribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories.
  • Stay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows.
  • 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 or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field.
  • 6+ years of experience building and evaluating machine learning models or performing advanced analytics.
  • Proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, Matplotlib/Seaborn).
  • Hands-on experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, XGBoost).
  • Experience writing efficient SQL queries and working with structured or semi-structured data in cloud or database environments.
  • Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks.
  • Strong understanding of statistics, probability, experimental design, and model validation techniques.
  • Ability to communicate technical concepts clearly to stakeholders and collaborate across multidisciplinary teams.
  • Experience with dashboarding tools (Tableau, Power BI) or Python visualization libraries is a plus.
  • Curiosity and adaptability, with a drive to stay current in rapidly evolving data and ML practices.
  • Relevant certifications (helpful but not required): Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer.

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 $125,000 to $160,000. 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.