Data Scientist – Program Evaluation, Analytics

🔥 16 hours ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $100k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LMI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1961

📦 Logistics

🏥 Healthcare

🎖️ Defense

Logistics • Healthcare • Defense

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

📋 Description

• Lead the design, development, and delivery of analytics products combining SQL-backed data, Microsoft Power Apps/Power BI, and reproducible analytical workflows • Partner with program leadership and business stakeholders to frame questions, populations, outcomes, time windows, decisions, and analytical objectives • Translate ambiguous needs into actionable technical and analytical requirements • Write efficient SQL against complex relational datasets and construct analysis-ready cohorts • Validate joins, grain, keys, duplicates, missingness, and denominators • Develop and maintain Power BI dashboards and Power Apps experiences • Apply appropriate descriptive, predictive, and causal analytical methods, including regression, longitudinal analysis, survival/time-to-event methods, cohort balancing, missing-data approaches, and model diagnostics • Develop modular, reproducible Python or R workflows for data manipulation, visualization, statistical modeling, and reporting • Establish repeatable data-quality and reproducibility checks • Read and reconcile legacy SAS workflows and support migration to tested Python workflows • Define milestones and acceptance criteria, track dependencies and blockers, and communicate progress through reviewable work products • Translate analytical results into program meaning, limitations, operational implications, and recommended next steps • Provide technical guidance, peer review, and maintainable standards for data, dashboards, documentation, testing, and analytical review • Use approved VA environments and follow requirements for PII, PHI, data minimization, and access control • Independently validate approved generative AI output, data handling, statistical reasoning, and conclusions

🎯 Requirements

• Bachelor’s degree in statistics, biostatistics, epidemiology, data science, computer science, information systems, quantitative social science, econometrics, or a related field • 6+ years of progressively responsible experience spanning data analytics, program evaluation, business intelligence, application/data development, or a related quantitative discipline • Strong SQL skills and experience with complex relational data models, cohort construction, joins, data validation, and analysis-ready datasets • Strong Python or R capability for reproducible analysis, including data manipulation, visualization, statistical modeling, and reporting • Ability to distinguish descriptive, predictive, and causal questions; select and defend appropriate methods; assess uncertainty and practical importance • Experience with version control, modular code, testing, peer review, documentation, and rerunnable analyses • Excellent written and verbal communication skills and ability to explain analytical findings and technical tradeoffs in plain language • Sound judgment working with sensitive healthcare, outcomes, public health, or program data, including PII/PHI and approved AI tools • Ability to obtain a Public Trust clearance • Desired: experience with VA, suicide prevention, mental health, healthcare outcomes, public health, or program-evaluation data • Desired: experience with mortality, survival, longitudinal outcomes, propensity methods, weighting, matching, causal inference, or cohort-balancing approaches • Desired: experience modernizing legacy analytical pipelines, especially SAS-to-Python migration • Desired: hands-on Power BI and Power Apps experience; familiarity with Power Query, M, and DAX preferred • Desired: experience presenting to non-technical clients and converting analytical results into program decisions • Desired: product/delivery leadership, backlog prioritization, requirements gathering, and cross-functional coordination • Desired: Microsoft Power Platform, Agile, project management, or related certifications are a plus