[Hiring] Dataverse / Data Science Lead @LMI

Role Description

LMI is seeking a Dataverse/Data Science Lead to join a multidisciplinary team supporting the Department of Homeland Security (DHS) Customs and Border Protection (CBP) Program Management Office (PMO). This role is ideal for engineers who are passionate about applying technical expertise to real-world national security challenges and advancing mission-critical capabilities through research, evaluation, and informed decision-making.

This position requires U.S. citizenship and the ability to obtain a CBP Background Investigation (BI); active CBP BI preferred. This position requires 20% travel that may entail remote and rugged areas.

The Data Science Lead must be a hands-on technical leader who combines advanced statistical expertise, strong coding skills, and practical mission awareness. Responsibilities include:

• Leading the analytical strategy for complex operational, workflow, technology, and programmatic questions.
• Serving as the lead subject-matter expert for Microsoft Dataverse data structures and data management practices.
• Assessing data readiness for analytical and reporting use cases.
• Designing and maintaining reporting-ready Dataverse data models and analytical pipelines.
• Developing, reviewing, and applying statistical models and machine-learning methods.
• Performing hands-on analysis using Python, SQL, and related tools.
• Partnering with stakeholders to establish appropriate baselines and performance measures.
• Translating complex analytical findings into concise, actionable products.
• Leading feature definition, model selection, and validation strategies.
• Establishing analytical standards and governance practices.
• Creating reusable notebooks, SQL scripts, and analytical templates.
• Coaching analysts and technical teams on data-management practices.
• Coordinating with data engineering and application-development resources.
• Leading technical reviews of analytical plans and results.
• Partnering with data owners to improve data definitions and quality expectations.
• Supporting the development of dashboards and self-service analytical products.
• Remaining current on applicable data-governance policies and analytical methodologies.

Qualifications

• Master’s degree or higher in statistics, data science, operations research, public health, computer science, engineering, mathematics, or another related quantitative discipline.
• At least 9 years of progressive experience in applied data science, advanced analytics, or related analytical roles.
• Demonstrated experience leading complex analytical efforts from problem definition to communication of results.
• Strong hands-on experience using Python and SQL for analytical workflows.
• Experience designing and assessing data models and data pipelines.
• Experience with advanced analytical methods, including predictive modeling and machine learning.
• Experience with modern data and visualization platforms, such as Microsoft Dataverse and Power BI.
• Demonstrated ability to communicate analytical methods and results clearly.
• Experience establishing analytical standards for reproducibility and quality assurance.
• Demonstrated technical leadership experience, including mentoring and managing analytical workstreams.

Requirements

• Doctoral degree in a related quantitative discipline (preferred).
• Experience supporting healthcare, federal health, or public health analytics.
• Experience operationalizing analytics or machine-learning solutions.
• Experience designing or evaluating NLP or generative AI solutions.
• Experience working with Dataverse and the Microsoft Power Platform.
• Advanced certifications in relevant technologies (preferred).
• Evidence of recognized technical leadership through publications or presentations.

Benefits

• Target salary range: $111,209 - $180,317.
• Salary determined by factors including location, internal equity, and candidate qualifications.