Data Scientist - Program Evaluation & Analytics

LMI Consulting, LLC; Tysons (VA); Hybrid; USD 100,000 - 135,000; Full time

Job summary

LMI Consulting, LLC seeks a mid-to-senior Data Scientist to support the VA, combining data engineering, visualization, program evaluation, and statistical analysis. You will translate complex questions into validated datasets, reproducible analyses, and decision-ready dashboards using SQL and Power Platform, with Python or R for advanced analytics.

You will bridge program leadership, technical delivery, and evaluation, build cohorts, develop Power Apps/Power BI solutions, select analytical

Qualifications

• Bachelor's degree in statistics, biostatistics, epidemiology, data science, CS, or related field.
• 6+ years of data analytics, program evaluation, BI, or related quantitative work.
• Strong SQL skills with complex relational data and cohort construction.
• Strong Python or R for reproducible analysis; Python preferred for future stack.
• Ability to distinguish descriptive, predictive, and causal questions and defend methods.
• Experience with reproducible code, version control, testing, and documentation.
• Excellent written and verbal communication; able to explain findings to non-technical stakeholders.
• Sound judgment with sensitive healthcare/data; ability to obtain Public Trust clearance.

Responsibilities

• Lead design, development, and delivery of analytics products combining SQL data, Power Platform, and reproducible workflows.
• Partner with leadership to frame questions, define populations, outcomes, time windows, and objectives.
• Write efficient SQL, build analysis-ready cohorts, and validate data quality.
• Develop Power BI dashboards and Power Apps experiences for performance and operational insight.
• Apply descriptive, predictive, and causal methods using regression, longitudinal analysis, and cohort balancing as appropriate.
• Develop modular Python or R analytics workflows for data manipulation, visualization, modeling, and reporting.
• Establish repeatable checks for data lineage, coverage, and cohort attrition; ensure traceability to code and data.
• Read and reconcile legacy SAS workflows and migrate to Python where feasible.
• Define milestones, manage blockers, and communicate progress with transparent forecasts.
• Translate analytic results into clear program meaning, uncertainties, and recommended actions.
• Provide technical guidance, review code, and promote maintainable data, dashboards, and docs.
• Ensure responsible use of AI in VA environments and compliance with PII/PHI controls.

Skills

SQL

Python

R

Data Visualization

Power Platform

Communication

Analytical Thinking

Team Leadership

Data Quality

Education

Bachelor's degree in Statistics/Data Science/CS

Tools

Power BI

Power Apps

Python

R

Job description

Overview

LMI is seeking a mid-to-senior level Data Scientist to support the U.S. Department of Veterans Affairs (VA). This multifaceted role combines hands-on data engineering and visualization with applied program evaluation and statistical analysis. The position will translate complex program questions into validated datasets, reproducible analyses, and decision-ready dashboards and findings, using SQL and Microsoft Power Platform on the delivery side and Python or R for advanced analytical work.

The Data Scientist will serve as a bridge between program leadership, technical delivery, and analytical evaluation. The successful candidate will understand the underlying relational data and veteran journey, build and validate analysis-ready cohorts, develop Power Apps/Power BI solutions, independently select appropriate analytical methods, and communicate results in clear program language.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

• Technical & Data Leadership: Lead the design, development, and delivery of analytics products that combine SQL-backed data, Microsoft Power Apps/Power BI, and reproducible analytical workflows.
• Program & Stakeholder Partnership: Partner with program leadership and business stakeholders to frame questions, clarify populations, outcomes, time windows, intended decisions, and analytical objectives; translate ambiguous needs into actionable technical and analytical requirements.
• SQL & Data Engineering: Write readable, efficient SQL against complex relational datasets; construct analysis-ready cohorts with explicit inclusion, exclusion, and time-window logic; and validate joins, grain, keys, duplicates, missingness, and denominators.
• Dashboards & Power Platform: Develop and maintain Power BI dashboards and Power Apps experiences that make program performance, outcomes, and operational information accessible and actionable; support data refreshes, usability, and maintainability.
• Applied Program Evaluation & Statistics: Independently select, apply, and defend appropriate analytical methods across descriptive, predictive, and causal questions, drawing on regression, longitudinal analysis, survival/time-to-event methods, cohort balancing, missing-data approaches, and model diagnostics as appropriate.
• Python / R Analytics: Develop modular, reproducible analytical workflows using Python or R for data manipulation, visualization, statistical modeling, and reporting; use Python as the preferred future-state language when practical.
• Data Quality & Reproducibility: Establish repeatable checks for source lineage, date coverage, record counts, duplicates, missing values, unexpected categories, and cohort attrition; preserve traceability from client-facing outputs back to code, parameters, and validated source data.
• Legacy SAS Modernization: Read and reconcile legacy SAS workflows as needed and support a controlled migration to tested, maintainable Python workflows, including characterization of source tables and business rules, reconciliation testing, discrepancy investigation, and modular redevelopment.
• Delivery & Project Management: Define realistic milestones and acceptance criteria, maintain visibility into dependencies and blockers, and communicate progress through reviewable work products and transparent forecasts.
• Communication & Decision Support: Translate analytical results into clear program meaning, including the principal finding, uncertainty, limitations, operational implications, and recommended next steps; adapt communication for technical reviewers, program staff, executives, and clients.
• Team Leadership & Quality: Provide technical guidance and peer review, reinforce coding and analytical best practices, and help establish maintainable standards for data, dashboards, documentation, testing, and analytical review.
• Responsible Use of AI & Sensitive Data: Use only approved VA environments and follow applicable requirements for PII, PHI, data minimization, and access control; use approved generative AI as an accelerator while independently validating generated code, data handling, statistical reasoning, and conclusions.

Qualifications

Required

• Education / Training: Bachelor's degree in statistics, biostatistics, epidemiology, data science, computer science, information systems, quantitative social science, econometrics, or a related field; advanced training is highly valued.
• Experience: 6+ years of progressively responsible experience spanning data analytics, program evaluation, business intelligence, application/data development, or a related quantitative discipline, with demonstrated ownership of analytical or technical deliverables.
• SQL & Relational Data: Strong SQL skills and demonstrated experience working with complex relational data models, cohort construction, joins, data validation, and analysis-ready datasets.
• Python or R: Strong Python or R capability for reproducible analysis, including data manipulation, visualization, statistical modeling, and reporting; Python is preferred for the future-state analytical stack.
• Analytical Judgment: Demonstrated ability to distinguish descriptive, predictive, and causal questions; select and defend appropriate methods; assess uncertainty and practical importance; and avoid conclusions that exceed what the study design supports.
• Reproducibility & Quality: Experience using version control, modular code, testing, peer review, documentation, and other practices that make analyses rerunnable when data change.
• Communication: Excellent written and verbal communication skills, including the ability to explain analytical findings and technical tradeoffs in plain language and work directly with stakeholders.
• Federal Data Environment: Sound judgement when working with sensitive healthcare, outcomes, public health, or program data, including PII/PHI and approved AI tools.
• Clearance: Ability to obtain a Public Trust clearance.

Desired

• Domain: Experience with VA, suicide prevention, mental health, healthcare outcomes, public health, or program-evaluation data, including an understanding of veteran referral, enrollment, treatment, discharge, follow-up, and outcomes.
• Advanced Methods: Experience with mortality, survival, longitudinal outcomes, propensity methods, weighting, matching, causal inference, or other cohort-balancing approaches.
• Modernization: Experience modernizing legacy analytical pipelines, especially migration from SAS to Python, with emphasis on reconciliation, testing, and maintainability rather than mechanical code translation.
• Power Platform / BI: Hands-on experience with Power BI and Power Apps; ability to translate business requirements into usable dashboards or applications. Familiarity with Power Query, M, and DAX is preferred.
• Client Engagement: Experience presenting directly to non-technical clients and converting analytical results into program decisions or operational recommendations.
• Product / Delivery: Experience balancing hands-on technical contribution with delivery leadership, backlog or work prioritization, requirements gathering, and cross-functional coordination.
• Certifications: Microsoft Power Platform, Agile, project management, or related certifications are a plus.

The target salary range for this position is $100,000 - 135,000

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Job Locations

US-VA-Tysons | US-Remote

LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact [e-mail]

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