Senior Data Science Advisor for Strategic Analytics

General Dynamics Information Technology (GDIT); Coronado (CA); On-site; USD 128,000 - 173,000; Full time

Benefits offered by this job

401K with company match

Health and wellness packages

Internal mobility program

Paid education and certifications

Job summary

General Dynamics Information Technology (GDIT) seeks a Data Science Advisor to lead the POTFF Enterprise Data and Analytics function. You will guide research methodologies, data collection, and program evaluation for government priorities, coordinating data engineers and scientists under your purview.

Responsibilities include designing defensible evaluations, ensuring data quality, and delivering actionable analyses to senior leadership.

Qualifications

• Master’s degree in a quantitative field with coursework or experience in statistics, data science, or quantitative analysis.
• 7+ years of professional data science/analytics experience for Master’s, including 2+ years supervising analysts; 10+ years with a bachelor’s.
• Advanced proficiency in Python or R and SQL; experience delivering models and decision-support products.

Responsibilities

• Lead the Enterprise Data and Analytics function and manage the analytical backlog.
• Advise leadership on research methodologies, data collection, study design, and program evaluation.
• Develop and oversee evaluations, models, and ROI analyses for POTFF interventions.

Skills

Analytics

Data Analysis

Datasets

Quantitative Analysis

Research Methodologies

Education

Master's degree in quantitative discipline

Bachelor's degree with relevant experience

Tools

Python

R

SQL

Job description

General Dynamics Information Technology (GDIT) seeks a Data Science Advisor to lead the POTFF Enterprise Data and Analytics function. You will guide research methodologies, data collection, and program evaluation for government priorities, coordinating data engineers and scientists under your purview.

Responsibilities include designing defensible evaluations, ensuring data quality, and delivering actionable analyses to senior leadership.