Hybrid Data Science Lead for Federal Modernization

LMI Consulting, LLC; Tysons (VA); Hybrid; USD 110,000 - 145,000; Full time

Job summary

LMI Consulting, LLC seeks a Data Scientist/Data Science Lead to provide hands-on analytical leadership across VA modernization initiatives. The role combines advanced analytics, ML methods, data-quality rigor, and decision support for complex questions.

This position follows a hybrid model with ~25% onsite presence at Tysons HQ or Washington, DC. The candidate will be a working technical leader, inspecting data, writing code, testing assumptions, and setting standards for the broader team.

Qualifications

• Bachelor's degree in data science, statistics, mathematics, computer science, or related quantitative field.
• 7+ years in data science, advanced analytics, ML, or related work.
• Strong Python and SQL with statistical modeling, validation, and complex data interpretation.
• Ability to translate business/clinical questions into defensible analytical methods and decision products.

Responsibilities

• Lead analytical strategy for complex questions across operations and technology.
• Assess data readiness, quality, lineage, and fitness for measures.
• Develop and review statistical models, ML methods, and AI evaluations.
• Design reporting-ready data models, transformations, and pipelines.
• Perform hands-on Python/SQL analysis and troubleshoot data issues.
• Coach analysts and establish reusable analytics and peer-review practices.
• Establish standards for reproducibility, validation, and documentation.

Skills

Python

SQL

Statistical analysis

Machine learning

Analytical leadership

Communication

Data quality

Problem solving

Education

Bachelor's degree in quantitative field

Tools

Databricks

Snowflake

Power BI

Azure/AWS

Job description

LMI Consulting, LLC seeks a Data Scientist/Data Science Lead to provide hands-on analytical leadership across VA modernization initiatives. The role combines advanced analytics, ML methods, data-quality rigor, and decision support for complex questions.

This position follows a hybrid model with ~25% onsite presence at Tysons HQ or Washington, DC. The candidate will be a working technical leader, inspecting data, writing code, testing assumptions, and setting standards for the broader team.