Lead Quantitative Social Scientist

Logistics Management Institute

5d•$114,000 - $190,045

About The Position

We are seeking a highly skilled and experienced Lead Quantitative Social Scientist to oversee and conduct two comprehensive, independent assessments for the Department of Veterans Affairs (VA). The successful candidate will lead data and methodology analysis for mental health care and suicide prevention programs, as mandated by the Clay Hunt Act and Hannon Act. The role will primarily focus on analyzing program effectiveness, cost-effectiveness, and veteran satisfaction to ensure compliance with Congressional requirements and delivering impactful insights for VA to use in its mission to prevent veteran suicides through a comprehensive public health approach. 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.

Requirements

Master’s degree in Political Science, Quantitative Methods, Public Policy, Psychology, or a related field.
At least 5 years of experience in applied data science, program evaluation, and analytics.
Proven track record in leading data science projects, especially in the federal space.
Extensive experience with statistical analysis, hypothesis testing, experiential design, data management, and evaluating large-scale programs.
Expertise in Python, R, SQL, and statistical analysis software (e.g., SAS, SPSS).
Proficiency in deep learning, Bayesian models, and data visualization tools such as Tableau, Power BI, or similar for creating reports and dashboards.
Strong background in quantitative deep learning frameworks such as TensorFlow and PyTorch.
Experience in data cleansing and manipulation to ensure data usability and integrity.
Exceptional problem-solving skills with a focus on client needs and federal compliance.
Excellent communication and presentation abilities to effectively convey complex data insights to various audiences.
Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
Ability to identify data quality issues, communicate gaps, and recommend additional data collection requirements.
Strong interpersonal skills to collaborate with various stakeholders and team members.
Demonstrated ability to generate actionable insights through in-depth analysis and translate findings into clear, concise, and impactful reports.
Ability to pass a government background investigation, including financial, criminal, residential, educational, foreign affiliation, prohibited substance abuse, and employment verifications. Please note that only U.S. citizens are eligible for a suitability determination.

Nice To Haves

PhD in Political Science, Quantitative Methods, Public Policy, Psychology, or a related field.
Demonstrated experience evaluating Mental Health and Suicide Prevention programs.
Understanding of VA evaluation frameworks and regulatory requirements.
Experience working with federal contracts, especially within the Department of Veterans Affairs.
Previous experience conducting independent assessments and drafting Congressionally Mandated Reports.