Data Scientist Mid

General Dynamics Information Technology•USA NC Fort Bragg - Fort Bragg (NCC004), NC
•$109,403 - $148,017•Onsite

About The Position

The Data Scientist-Mid will support Defense & Intelligence Programs at Joint Special Operations Command (JSOC) at Fort Bragg, North Carolina, contributing to the broader U.S. Special Operations Command (USSOCOM) Intelligence Data Science Team. The role develops data-driven solutions to complex challenges and uses advanced tools and computational skills to interpret, connect, predict, and discover insights in data. It works independently under general supervision and may coach and review the work of less experienced professionals. The position is onsite five days per week and requires a current DoW Top Secret/SCI clearance and U.S. citizenship. It requires a bachelor's degree in Computer Science, Statistics, Engineering, Data Science, or a related field, along with at least five years of related experience, including academic or internship-based data science work. The salary range is $109,403–$148,017, subject to experience, location, and contractual requirements. Scheduled hours are 40 per week, and travel is less than 10%.

Requirements

  • Current DoW Top Secret/SCI clearance.
  • U.S. citizenship.
  • At least 5 years of related experience, including academic or internship-based data science work.
  • Bachelor’s degree in Computer Science, Statistics, Engineering, Data Science, or a related field.
  • Proficiency in Python and Bash, including API development and data manipulation.
  • Familiarity with SQL and large-scale systems such as PostgreSQL, Hive, or Trino.
  • Basic understanding of machine-learning concepts.
  • Onsite work five days per week.

Nice To Haves

  • Cloud or machine-learning-related certifications.
  • Familiarity with Flask or FastAPI.

Responsibilities

  • Contribute to the completion of specific programs and projects.
  • Develop data-driven solutions to complex business challenges.
  • Use advanced tools and computational skills to interpret, connect, predict, and make discoveries in data.
  • Evaluate the effectiveness and accuracy of new data sources and data-gathering techniques.
  • Use predictive modeling to improve customer experience, efficiencies, processes, and other business outcomes.
  • Work with stakeholders across the organization to identify opportunities to use company data to drive business solutions.
  • May develop processes and machine-learning-based tools to monitor and analyze model performance and data accuracy.
  • Perform additional duties as assigned.
  • May coach and review the work of less experienced professionals.
  • Work independently under general supervision.

Benefits

  • Comprehensive benefits and wellness packages.
  • 401(k) with company match.
  • Competitive pay.
  • Paid time off.
  • Medical plan options, including some with Health Savings Accounts.
  • Dental plan options.
  • Vision plan.
  • 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.
  • Short- and long-term disability benefits.
  • Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.
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