Dataverse / Data Science Lead (CBP)
J
JobgetherFederal data analytics
Remote work within the United States or Washington, DCFull-TimeLead
Salary111,209 - 180,317 USD per year
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Job Details
- Experience
- At least 9 years of progressive experience
- Required Skills
- PythonSQLMachine LearningMicrosoft Power BIData engineeringData modeling
Requirements
- Master’s degree or higher in statistics, data science, operations research, public health, computer science, engineering, mathematics, or a related quantitative field.
- At least 9 years of progressive experience in applied data science, advanced analytics, statistical analysis, data engineering, or related analytical roles.
- Experience in federal health, healthcare, regulated-data environments, enterprise modernization, or similarly complex organizations.
- Ability to lead analytical initiatives from problem definition and data assessment through analysis, validation, interpretation, and communication.
- Strong hands-on proficiency in Python and SQL, including developing, testing, validating, and troubleshooting analytical workflows and models.
- Experience designing and evaluating data models, pipelines, data-quality controls, validation logic, data lineage, authoritative sources, and reporting-ready datasets.
- Experience applying advanced analytical methods such as predictive modeling, time-series analysis, causal inference, natural language processing, machine learning, generative AI, or large language model evaluation.
- Familiarity with platforms such as Microsoft Dataverse, Databricks, Snowflake, Power BI, Azure, AWS, or Google Cloud Platform.
- Experience applying or establishing standards for reproducibility, peer review, documentation, version control, quality assurance, validation, and responsible data and AI use.
- Technical leadership experience, including mentoring analysts or data scientists, leading peer reviews, developing reusable analytical resources, or managing complex workstreams.
- Willingness to travel approximately 20%, including to remote or rugged locations.
- Doctoral degree, hands-on Microsoft Dataverse and Power Platform experience, relevant advanced certifications, and experience with MLOps or AI evaluation are preferred.
Responsibilities
- Lead analytical strategy for complex operational, workflow, technology, and programmatic questions.
- Serve as the subject-matter expert for Microsoft Dataverse and its analytical applications and integrations.
- Assess data quality, completeness, sensitivity, lineage, authoritative sources, access requirements, and analytical suitability.
- Design and maintain reporting-ready data models, transformations, validation rules, business logic, and analytical pipelines.
- Develop, evaluate, and apply statistical models, machine-learning methods, predictive analytics, and AI or large language model evaluation approaches.
- Conduct hands-on analysis using Python, SQL, and Dataverse queries, and troubleshoot data and modeling challenges.
- Collaborate with stakeholders to define baselines, performance measures, outcomes, and interpretations of evidence.
- Communicate findings, uncertainty, assumptions, data-quality issues, potential bias, and causal limitations to technical and nontechnical audiences.
- Establish standards for reproducibility, peer review, documentation, validation, quality assurance, and responsible data and AI use.
- Mentor analysts and coordinate with engineering, platform, application development, and Power Platform teams.
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