Data Scientist/Data Science Lead
LMI Consulting · Tysons, VA, US
About this role
**Overview** LMI is seeking a **Data Scientist / Data Science Lead** to provide hands-on analytical leadership across **Department of Veterans Affairs (VA) modernization** initiatives. This role blends advanced analytics, statistical and machine-learning methods, data-quality rigor, analytical coding, technical review, and decision support for complex mission and operational questions. **Work Model** Hybrid role with an expectation of approximately **25% onsite** presence at **LMI’s Tysons headquarters (Tysons, VA)** or **Washington, DC**. --- **What You’ll Do** - Lead analytical strategy for complex **operational, clinical, workflow, and technology** questions. - Assess **data readiness, quality, sensitivity, lineage, authoritative sources, and fitness** for intended measures. - Develop and review **statistical models, machine-learning methods, exploratory analyses, and AI/LLM evaluations**. - Design reporting-ready **data models, transformations, validation logic, and analytical pipelines**. - Perform hands-on **Python/SQL** analysis and troubleshoot difficult data or modeling issues. - Partner with clinical and evaluation staff on **baselines, denominators, comparisons, outcomes, and evidence limitations**. - Communicate **uncertainty, data-quality issues, bias, and causal limitations** clearly to decision-makers. - Coach analysts and establish reusable **analytics, validation, and peer-review** practices. - Establish analytical standards for **reproducibility, peer review, validation, documentation, version control, data-quality checks, and transparent assumptions/limitations**. - Lead **feature definition, model selection, validation strategy, error analysis, sensitivity testing, and bias/fairness assessment**. - Create reusable **notebooks, code patterns, analytical templates, and quality checks** to improve consistency and speed. - Coordinate with engineering/platform resources on **model/analytical handoff**, including pipelines, monitoring, performance, and maintainability. - Lead technical reviews of analytical plans and results to ensure alignment to the customer’s decision needs. - Partner with data owners and governance stakeholders to improve **data definitions, provenance, access patterns, quality expectations, and responsible use**. --- **Required Qualifications** - Bachelor’s degree in **data science, statistics, mathematics, computer science, operations research, economics, engineering, public health,** or a related quantitative field. - **7+ years** in data science, advanced analytics, machine learning, statistical analysis, or related work. - Strong hands-on **Python and SQL** skills with demonstrated experience in statistical modeling, validation, and complex-data interpretation. - Experience translating ambiguous operational/clinical questions into **defensible analytical methods and decision products**. - Recommended certification: cloud data science/ML or analytics/data-platform credential from **Microsoft/Azure, AWS, Google Cloud, Databricks,** or comparable provider. - Ability to satisfy **VA personnel vetting** and requirements for sensitive/regulated data. - Strong statistical foundation (e.g., **regression, classification, sampling, validation, uncertainty, experimental/quasi-experimental reasoning**, and observational-data interpretation). - Demonstrated ability to work with **large, messy, multi-source datasets** and diagnose data-quality issues (missingness, leakage, representativeness, lineage) befo
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