Senior Data Science Advisor: Enterprise Analytics

General Dynamics Information Technology (GDIT); Fort Walton Beach (FL); Sur place; USD 128 000 - 173 000; Plein temps

Avantages offerts par ce poste

401K with company match

Comprehensive health packages

Internal mobility opportunities

Paid education and certifications

Cutting-edge technology access

Paid vacation and holidays

Résumé du poste

General Dynamics Information Technology (GDIT) seeks a Data Science Advisor to lead the POTFF Enterprise Data and Analytics function, advising senior leadership on study design, data collection, and program evaluation. You will coordinate Data Engineers and Scientists, ensure defensible methodologies, and deliver data-driven insights for decision-making.

Strong Python/R and SQL skills, plus experience in analytics leadership, are required.

Qualifications

• Master’s degree with 7+ years of related experience or a bachelor’s with 10+ years, including at least 2 years supervising analysts.
• Advanced proficiency in Python or R and SQL, with proven delivery of statistical or predictive models.
• Ability to communicate effectively with senior leadership and establish stakeholder relationships.

Responsabilités

• Lead the Enterprise Data and Analytics function and manage analytics backlog.
• Advise on research methodologies, data collection strategies, and program evaluation.
• Design, oversee, and defend evaluations and ROI analyses for POTFF interventions.

Connaissances

Analytics

Data Analysis

Datasets

Quantitative Analysis

Research Methodologies

Formation

Master’s degree in a quantitative discipline

Bachelor’s degree in a quantitative discipline

Outils

Databricks

Apache Spark

Power BI

Palantir Foundry

Description du poste

General Dynamics Information Technology (GDIT) seeks a Data Science Advisor to lead the POTFF Enterprise Data and Analytics function, advising senior leadership on study design, data collection, and program evaluation. You will coordinate Data Engineers and Scientists, ensure defensible methodologies, and deliver data-driven insights for decision-making.

Strong Python/R and SQL skills, plus experience in analytics leadership, are required.