Data Scientist

GDIT is hiring a Data Scientist to support Government customer activities for the POTFF enterprise. The role applies statistical analysis, data mining, and machine learning to human performance, behavioral health, and readiness data, producing forecasts, decision-support products, visual analytics, and reports.

Responsibilities

Query, clean, transform, and prepare data from the Government-designated Human Performance System of Record (e.g., HPDMS) and other Government-approved sources for analysis, using the curated datasets maintained by the Data Engineer where available

Develop, validate, and document predictive and prescriptive models, forecasting methods, clustering, and other advanced statistical techniques to generate actionable forecasts regarding operator readiness, injury risk, program efficacy, and performance optimization, as directed by the Government

Support text-heavy use cases using Natural Language Processing (NLP) techniques (e.g., cleaning, entity extraction, classification) to analyze unstructured clinical or survey data and apply Large Language Model (LLM) and agent-style workflows only within Government-approved tools and datasets

Develop, deploy, and maintain visual analytics, dashboards, and executive reports using Government-furnished tools (e.g., Power BI, including semantic modeling and DAX), and integrate data products into low-code operational workflows (e.g., Microsoft Power Platform) where directed

Support Government-designed analyses and experiments that measure the validity, efficacy, and Return on Investment (ROI) of POTFF interventions, including computation of program-efficacy metrics as directed by the Government

Automate recurring analyses and the generation of required monthly and quarterly reports, reducing manual effort and improving accuracy

Document data sources, transformations, assumptions, methods, and validation procedures so that analyses are reproducible and can be transferred to other personnel

Communicate complex concepts, methods, and results clearly to non-technical command leadership and to clinical and performance staff, in writing and in briefings

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, including DoW Impact Level 5 (IL5), HIPAA, and Privacy Act protocols, in all analytic work

Preferred

Experience producing visual analytics and reports for decision-makers (Power BI preferred)

Experience with Databricks and Apache Spark (PySpark) or a comparable distributed processing system

Familiarity with NLP and LLM use cases, including text preparation, evaluation datasets, and governance considerations

Familiarity with the Microsoft Power Platform (Power Apps and Power Automate) and with Palantir Foundry

Experience with web application development technologies (e.g., HTML, CSS, JavaScript, React, Django, or ASP.NET Core) or with deploying analytics into applications

Experience with human performance, sports science, health, clinical, or biomedical data

Visual analytics

Decision-maker reporting

Power BI

Databricks

Apache Spark

PySpark

Distributed processing

Natural language processing

Large language models

Text preparation

Evaluation datasets

AI governance

Microsoft Power Platform

Power Apps

Power Automate

Palantir Foundry

Web application development

HTML

CSS

JavaScript

React

Django

ASP.NET Core

Analytics deployment

Human performance

Sports science

Health data

Clinical data

Biomedical data

Benefits

401(k) with company match

Comprehensive health and wellness packages

Medical plan options, some with Health Savings Accounts, dental plan options, and a vision plan

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

Full flex work weeks where possible

Paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement, and jury duty leave

Typically 15 days of paid leave per calendar year for vacations, personal business, and illness; prorated based on the employee's date of hire

An additional 10 paid holidays per year; prorated based on the employee's date of hire

Up to 160 hours of paid leave in a rolling 12-month period through the GDIT Paid Family Leave program for eligible employees

Short- and long-term disability benefits

Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance, provided or available

A 401(k) plan allowing pre- and post-tax contributions up to IRS annual limits, with a company match

Company

Tech career marketplace connecting professionals with recruiters

Centennial, Colorado, USA

https://www.or-quest.nl/

Founded in 1990

201-500 employees

Qualifications

Bachelor's degree in a quantitative discipline, including but not limited to statistics, biostatistics, mathematics, applied mathematics, data science, operations research, computer science, engineering, physics, economics or econometrics, epidemiology, geospatial science or geoinformatics, or psychology or another behavioral science with a quantitative-methods concentration, with documented coursework or professional application in statistics, programming, and quantitative analysis

Minimum of one (1) year of experience applying data science or statistical methods to real-world problems. A Bachelor's degree program that included documented internship, cooperative-education, capstone, thesis, or project work applying data science methods to real-world data satisfies this requirement

Demonstrated proficiency in Python or R for data analysis, statistical modeling, and machine learning, and in SQL for querying relational data, demonstrated through professional work experience or degree-program projects

Working knowledge of applied statistics and of supervised and unsupervised machine-learning methods

Ability to prepare and clean data for analysis, including familiarity with data engineering concepts (ETL/ELT, data modeling basics, reproducible workflows, and version control with Git)

Ability to communicate clearly with stakeholders and translate mission needs into analytical questions and outputs

Secret or Top-Secret Clearance, or the ability to obtain clearance

Experience producing visual analytics and reports for decision-makers (Power BI preferred)

Experience with Databricks and Apache Spark (PySpark) or a comparable distributed processing system

Familiarity with NLP and LLM use cases, including text preparation, evaluation datasets, and governance considerations

Familiarity with the Microsoft Power Platform (Power Apps and Power Automate) and with Palantir Foundry

Experience with web application development technologies (e.g., HTML, CSS, JavaScript, React, Django, or ASP.NET Core) or with deploying analytics into applications

Experience with human performance, sports science, health, clinical, or biomedical data

Minimum of one (1) year of experience applying data science or statistical methods to real-world problems. A Bachelor's degree program that included documented internship, cooperative-education, capstone, thesis, or project work applying data science methods to real-world data satisfies this requirement.

Required skills

Represents the skills you have, click on the tags, R, SQL, Statistics, Machine Learning, Data Visualization, Power BI, ETL/ELT, Data Modeling, Natural Language Processing, Large Language Models

Experience

1+ years