Sport Data Jobs in Virginia (NOW HIRING)

• Job Category Computational Sciences
• Employee Type FT Exempt
• Required Degree 4 Year Degree

• Phone (703) 942-8560
• Email recruiting@knowesis-inc.com

Position: Data Scientist I

Clearance Required: Secret is required to be considered; the position requires the selected candidate to obtain a TS/SCI if they have not already obtained that level of clearance.

Status: Funded

Salary Range: $90,000 - $110,000

Knowesis is looking for a Data Scientist I to support the United States Special Operations Command Preservation of the Force and Family (USSOCOM POTFF) program in identifying and implementing innovative, valuable solutions across the Special Operations Forces (SOF) enterprise aimed at improving the short and long‑term well‑being of SOF warriors and their families. The Data Scientist I will support all POTFF domains, providing consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data relating to POTFF programs and initiatives.

This position requires a TOP-SECRET/SCI clearance and U.S. Citizenship (applicants without proof of U.S. citizenship will not be considered due to the position’s security clearance requirement).

This position requires on-site work for all or a portion of the work being performed. The successful candidate will reside in the local area or relocate within 15 days of the start date. No relocation is authorized.

The Job Duties and Responsibilities include but are not limited to the following:

• Conducts data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling more informed analytic decisions.
• Enter and analyze data within government systems. Aggregate data sets across numerous applications and develop trend analysis. Create products demonstrating these trends.
• Modify and update existing data sources to provide relevant program related outcome metrics.
• Maintain dashboards to automate data analysis, identifying, interpreting, and presenting trends, designed to record POTFF-related programmatic data.
• Assist the POTFF staff with survey design. Create, analyze, and report survey data.
• Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data related to POTFF programs and initiatives.
• Work in consultation with POTFF program staff and the Government’s POTFF biostatistician.
• Provide subject matter expertise in the areas of program evaluation, research methodologies, and data analysis.
• Be able to use statistics/modeling tools and data visualization techniques to provide an accessible way to see and understand trends, outliers, and patterns in data to produce reports and presentations that accurately convey data trends supporting the mission.

Required Qualifications:

• Bachelor's degree in quantitative science, social science, or a related discipline.
• Basic proficiency with the suite of Microsoft Office programs, including Word, Excel, and Access.
• Basic proficiency with commonly used statistical software applications such as SPSS, SAS, Python, and R-Shiny.
• Be able to read, write, and speak English fluently and clearly to effectively communicate with all personnel they will interact with.
• Possess excellent verbal, written, interpersonal communication, presentation skills, and shall be highly detail oriented.
• Possess sufficient initiative, interpersonal relationship skills, and social sensitivity such that they can relate constructively to a variety of contacts from diverse backgrounds.

Preferred Qualifications:

• Certification or documented experience with Human Performance.
• Experience working with Special Operations, athletics/sports, or other military settings.
• Strong technical and analytical skills in the following:
  • SQL Server, Databricks, Apache Spark (PySpark), Python, Power BI, Power Apps, and Power Automate
• Knowledge of ETL/ELT development, dimensional data modeling, data governance, machine learning, statistical analysis, NLP, large language models (LLMs), retrieval‑augmented workflows, and data pipeline orchestration.
• Experience supporting enterprise analytics, dashboard development, predictive modeling, and low‑code automation solutions in Microsoft and cloud‑based data environments preferred.
• Health (PPO & HDHP) Insurance, Dental, Vision, STD & LTD, Basic Life Insurance, 401k Company Match, & Voluntary Products.

Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.