Description
We are GDIT, a company that supports and secures complex government, defense, and intelligence projects. We are looking for a Data Scientist to join our team to support customer activities.
The Data Scientist applies statistical analysis, data mining, and machine learning to human performance, behavioral health, and readiness data to produce actionable insights, forecasts, and decision-support products for the POTFF enterprise.
Responsibilities:
- Query, clean, transform, and prepare data from the Government-designated Human Performance System of Record and other Government-approved sources for analysis.
- Develop, validate, and document predictive and prescriptive models, forecasting methods, clustering, and other advanced statistical techniques to generate actionable forecasts.
- Support text-heavy use cases using Natural Language Processing (NLP) techniques.
- Develop, deploy, and maintain visual analytics, dashboards, and executive reports using Government-furnished tools.
- Support Government-designed analyses and experiments that measure the validity, efficacy, and Return on Investment (ROI) of POTFF interventions.
- Automate recurring analyses and the generation of required monthly and quarterly reports.
- Document data sources, transformations, assumptions, methods, and validation procedures.
- Communicate complex concepts, methods, and results clearly to non-technical command leadership and to clinical and performance staff.
- Collaborate with embedded clinical and performance staff to identify opportunities for capturing data and improving the quality of input into Government systems.
- Maintain rigorous data quality, security, and privacy controls.
Requirements:
- Bachelor’s degree in a quantitative discipline.
- Minimum of one (1) year of experience applying data science or statistical methods to real-world problems.
- Demonstrated proficiency in Python or R for data analysis, statistical modeling, and machine learning, and in SQL for querying relational data.
- Working knowledge of applied statistics and of supervised and unsupervised machine-learning methods.
- Ability to prepare and clean data for analysis.
- Experience producing visual analytics and reports for decision-makers.
- Ability to communicate clearly with stakeholders and translate mission needs into analytical questions and outputs.
Benefits:
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology you can learn from
- Rest and recharge with paid vacation and holidays