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Data Science Associate Jobs in Leesburg, VA (NOW HIRING)

Data Scientist

Mclean, VA

$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 ...

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

... Associate, or Python/Data Science credentials). * Familiarity with geospatial data analysis (GIS) and integrating spatial modeling into enterprise decision-support applications. * Understanding of ...

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 ...

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Data Science Associate information

See Leesburg, VA salary details

$58.2K

$68.8K

$130.5K

How much do data science associate jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science associate in Leesburg, VA is $68,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $60,200.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Leesburg, VA? The most popular types of Data Science jobs in Leesburg, VA are:
What cities near Leesburg, VA are hiring for Data Science Associate jobs? Cities near Leesburg, VA with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Leesburg, VA as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $68,819 per year, or $33.1 per hour.

$125K - $160K/yr

Other

Re-posted 14 days ago


Job description

Overview

We are seeking a Data 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.

Employment Type: OTHER