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Senior Data Scientist
TeamWorx Security. Translate mission and business questions into analytical approaches with government stakeholders and subject matter experts .
Posted 9/22/2026full-timeRemote • Maryland • United StatesSenior💰 $140,000 - $170,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and validating analytical models using Python and SQL, with a strong foundation in applied statistics and machine learning. Capable of translating complex data insights into actionable recommendations for both technical and non-technical stakeholders.
Highest-signal resume keywords
Python ProficiencySQL ProficiencyMachine Learning FundamentalsDatabricks ExperienceModel Development and Validation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisPredictive ModelingFeature EngineeringData AnalysisModel Performance Evaluation
Soft Skills
Stakeholder CommunicationMentoringCollaboration
Tools & Technologies
DatabricksBigQueryGoogle Cloud PlatformPySpark
Certifications & Qualifications
U.S. CitizenshipFederal Suitability Eligibility
Industry Keywords
Data GovernancePublic Buildings ServiceOperational ResearchQuantitative Analysis
Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformPySparkPythonSQL
About the role
Key responsibilities & impact- Translate mission and business questions into analytical approaches with government stakeholders and subject matter experts
- Perform exploratory and statistical analysis, predictive modeling, forecasting, scenario analysis, and feature engineering using governed enterprise data
- Develop, validate, and maintain models and AI-enabled analytical capabilities
- Document assumptions, definitions, and data lineage
- Establish whether outputs are accurate, explainable, and fit for the supported decision
- Build analytical datasets using Databricks, BigQuery, Python, and SQL
- Work with the data engineering team where production pipelines are required
- Take ownership of existing analytical products, reports, and stakeholder relationships
- Sustain and improve existing capabilities while building new ones
- Deliver visualizations, dashboards, models, and written analysis for technical and non-technical audiences
- Present findings to stakeholders and leadership
Requirements
What you’ll need- Bachelor's degree with 12 years of relevant experience, or a Master's degree with 10 years, in data science, statistics, mathematics, economics, operations research, computer science, engineering, or a related quantitative field
- Demonstrated experience developing, validating, and documenting analytical models that informed real operational or business decisions
- Strong applied statistics and machine learning fundamentals, including judgment about which method fits the problem
- Proficiency in Python and SQL for analysis, modeling, and working with data at scale
- Experience evaluating model performance and communicating uncertainty, limitations, and assumptions honestly to non-technical stakeholders
- Hands-on experience working in Databricks as a practitioner: notebooks, SQL and PySpark for analysis, model development and tracking, AI features, or dashboards
- U.S. citizenship is required
- Must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access
- Prior experience supporting GSA, ideally within the Public Buildings Service, including an understanding of how PBS is organized, how its business lines operate, and where its data lives
- Experience with Google Cloud Platform and BigQuery, along with familiarity with data governance and production support
- Experience as the senior analytical voice on a team, setting methods, reviewing others' analysis, and mentoring less experienced analysts
Benefits
Comp & perks- Comprehensive Health, Dental, & Vision Insurance
- Short-Term Disability & Life Insurance
- Matching 401(k) Contributions
- Paid Time Off including 11 Holidays and your Birthday
- Professional Development
- Fitness Membership
- Home Office allocations
- Performance Bonuses & Profit Sharing
- Employee Referral Bonuses