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Data Scientist – TS/SCI
Maxar Technologies. Design, develop, implement, and evaluate statistical models, machine learning algorithms, and predictive analytics solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing statistical models and machine learning algorithms, with a strong focus on analyzing complex datasets to derive actionable insights. Proficient in collaborating with technical teams to operationalize analytical solutions and communicate findings effectively to stakeholders.
Highest-signal resume keywords
Statistical ModelingMachine Learning AlgorithmsPython ProgrammingData AnalysisActive TS/SCI Clearance
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 ModelingMachine LearningPredictive AnalyticsData AnalysisModel ValidationModel OptimizationData ScienceAdvanced AnalyticsTechnical SupportQuantitative Analysis
Soft Skills
CollaborationCommunicationProblem-SolvingAnalytical ThinkingStakeholder Engagement
Tools & Technologies
PythonSQLElasticElasticsearchPandasNumPySciPyScikit-learn
Certifications & Qualifications
Bachelor's Degree in Data ScienceActive TS/SCI Clearance
Industry Keywords
Data SciencePredictive AnalyticsMachine LearningStatistical ModelingTechnical Support
Tech Stack
Tools & technologiesElasticSearchNumpyPandasPythonScikit-LearnSQLTypeScript
About the role
Key responsibilities & impact- Design, develop, implement, and evaluate statistical models, machine learning algorithms, and predictive analytics solutions
- Analyze large, complex, and diverse datasets to identify patterns, trends, relationships, anomalies, and actionable insights
- Develop, train, validate, and optimize machine learning models
- Assess model performance, accuracy, scalability, and operational suitability
- Collaborate with data engineers and software developers to operationalize analytical models
- Integrate data science capabilities into the broader analytics platform
- Translate mission and business requirements into analytical approaches
- Communicate findings, methodologies, and recommendations to technical teams, government stakeholders, and senior leadership
Requirements
What you’ll need- U.S. Citizenship
- Active TS/SCI clearance; willingness to obtain a CI poly
- Bachelor's degree in data science, computer science, statistics, applied mathematics, or related quantitative discipline
- 8+ years of total professional experience in a technical support role
- Experience in data science, advanced analytics, statistical modeling, machine learning, or related technical discipline
- Strong proficiency in Python, SQL, and Elastic
- Experience using Elasticsearch, Pandas, NumPy, SciPy, and Scikit-learn
- Experience developing, validating, and applying statistical models, machine learning algorithms, and predictive analytics techniques to large and complex datasets
- Willingness to work onsite at least 90% or as needs dictate in Herndon, VA or Westminster, CO
Benefits
Comp & perks- Robust 401(k) with company match
- Mental health resources
- Student loan repayment assistance
- Adoption reimbursement
- Pet insurance
- Competitive total rewards package