Senior Data Scientist
New
T
Three Sisters FederalFederal Government Contracting
Location: RemoteFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of experience in data science, data engineering, or advanced analytics.
- Required Skills
- PythonSQLETLMachine LearningMicrosoft Power BIMicrosoft SQL Server
Requirements
- 5+ years of experience in data science, data engineering, or advanced analytics.
- Advanced SQL and hands-on experience with on-premises Microsoft SQL Server, including performance tuning.
- Strong Python skills for dataframe manipulation, numerical computing, and programmatic charting.
- Demonstrated Power BI development experience, including DAX, Power Query, semantic model design, and performance optimization.
- Experience building and maintaining ETL processes (SSIS or comparable).
- Applied experience with analytical methods including regression, classification, time series forecasting, and statistical inference.
- Working knowledge of version control and Python environment/dependency management.
- Experience assessing analytics environments and designing implementation paths for infrastructure and tooling.
- Ability to communicate analytical findings to non-technical stakeholders clearly.
- Ability to obtain and maintain a VA background investigation and PIV credential.
- Must be a U.S. citizen.
Responsibilities
- Build and maintain a SQL Server data warehouse, including ETL processes sourcing from multiple enterprise applications and SharePoint.
- Replace cursor-based data cleansing routines in SQL Server with Python-based processing.
- Design pipeline orchestration, credential, and secrets management for scheduled jobs and data connections.
- Establish source control and dependency management practices for reproducible analytical code.
- Conduct statistical analysis, regression, predictive modeling, and machine learning to support organizational projections.
- Design, build, and maintain Power BI semantic models, reports, and dashboards.
- Develop custom visualizations programmatically in Python and produce publication-quality tabular output.
- Produce and maintain technical documentation, system maps, and process flow diagrams.
- Respond to ad hoc data calls from senior leadership and program stakeholders.
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