Job Description

Type of Requisition Regular Clearance Level Must Currently Possess: Top Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family Data Science and Data Engineering Job Qualifications Skills: Analytics, Datasource, Data Transformation, Structured Query Language (SQL) Certifications: None Experience: 1 + years of related experience US Citizenship Required: Yes Job Description We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that’s important. GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being rusted to deliver your best every day. We think. We act. We deliver. There is no challenge we can’t turn into opportunity. And our work depends on a Junior Biostatistician joining our team to support customer activities. The Junior Biostatistician supports data engineering, statistical analysis, and analytics functions that inform readiness, performance, and decision‑support activities. This role processes, curates, and analyzes structured and unstructured data to create actionable insights, dashboards, and foundational data products. The Junior Biostatistician assists senior analysts and enterprise data teams by preparing datasets, developing pipelines, and supporting reporting tools used across programs and operational environments. How a Junior Biostatistician will make an impact Acquire, integrate, and prepare data from multiple sources to enable operational reporting, readiness analytics, and decision support. Design and implement ETL/ELT pipelines using SQL Server and Databricks leveraging Apache Spark (PySpark) for scalable batch processing and data transformation. Develop and maintain curated, analysis-ready datasets (e.g., dimensional models, governed reporting tables) with attention to data quality, lineage, and repeatability. Optimize data processing performance (partitioning strategies, efficient joins, job tuning) and contribute to reliable scheduling/orchestration and monitoring of recurring workloads. Apply statistical methods, data mining, and machine learning to generate actionable insights, forecasts, and predictive analytics relevant to military missions and readiness. Create dashboards and analytical products using Power BI, including semantic modeling and measures to support consistent metrics and reporting. Support low-code solutions by integrating data products into Power Apps (Canvas and Model-Driven) and automations using Power Automate. Contribute to text and language-focused use cases by preparing and analyzing unstructured data (basic NLP preprocessing, labeling/curation, feature creation). Demonstrate familiarity with LLMs and agent concepts (prompting patterns, retrieval‑style workflows, evaluation considerations) and assist senior team members in implementing these capabilities where appropriate. Document data sources, transformations, assumptions, and analytical methodologies to ensure transparency and operational continuity. What you’ll need to succeed EDUCATION: Bachelor’s degree with one to two (1-2) years’ experience in quantitative science, social science or related discipline Proficient with the suite of Microsoft Office programs, including Word, Excel and Access Working knowledge of SQL Server (SQL/T-SQL), including querying, joins, indexing basics, and working with relational schemas. Hands‑on experience or strong exposure to Databricks and Apache Spark (preferably PySpark) or comparable systems for scalable data preparation. Foundational programming skills in Python or R for analysis, data manipulation, and ML workflows. Possess an understanding of data engineering concepts: ETL/ELT, data modeling basics, data quality checks, reproducible pipelines, and version control (Git). Experience building visual analytics with Power BI (reports, datasets/semantic models, DAX fundamentals preferred). Familiarity with the Power Platform: Power Apps (Canvas and Model-Driven) and Power Automate for workflow integration. Basic familiarity with NLP and Large Language Models, including typical use cases and data requirements (text preparation, evaluation datasets, governance considerations). Ability to communicate clearly with stakeholders and translate mission needs into data requirements and analytical outputs. Experience with web application development technologies: HTML, CSS, JavaScript, React, plus backend exposure to Django or ASP.NET Core. Experience with advanced Spark/Databricks patterns (Delta tables, incremental loads, job/workflow scheduling, performance tuning). Familiarity with deploying analytics/ML into applications (APIs, dashboards, or integrated workflows) and basic MLOps concepts. Clearance Secret or Top-Secret Clearance, or the ability to obtain clearance. Location Various OCONUS & CONUS SITES This is a contingent posting, expected to start in 2027. GDIT is your place 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 Salary Range The likely salary range for this position is $63,312 - $85,658. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Work Hours & Travel Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Onsite Work Location: USA NC Fort Bragg Additional Work Locations: USA CA San Diego, USA FL Hurlburt Field, USA KY Fort Campbell, USA WA Joint Base Lewis-McChord Total Rewards at GDIT Benefit package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. Full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. Short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. Regularly review Total Rewards package to ensure competitiveness and reflect what employees value most. Identity Verification Process As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. About Our Work We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development. Privacy Policy For more information about GDIT's Privacy Policy, click here: Privacy Policy | GDIT Equal Opportunity Statement Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Opportunity Owned From working with technologies like AI, cyber and cloud to careers in intelligence and health, we offer endless opportunities to apply your expertise to create a safer, smarter world. #J-18808-Ljbffr

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