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Senior Data Scientist with Security Clearance

Ascension Federal Services IncFort Meade, MD🇺🇸United StatesPosted 13 Jul 2026

Why This Role Stands Out

This hybrid role offers an exciting opportunity to leverage your advanced data science and machine learning expertise to solve critical challenges, fostering significant career growth within a reputable organization. You'll thrive here if you possess a strong analytical mindset, a passion for innovation, and are eager to contribute to impactful projects with a highly collaborative team. Don't miss the chance to apply for this dynamic position!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Fort Meade, MD, United States
Posted
1 month ago
Machine LearningTableauJavaPower BIPython

Job Description

Senior Data Scientist Location: Fort Meade, MD, 20701 CLEARANCE: TS/SCI W/ FULL SCOPE POLYGRAPH (Will sponsor if active TS or above) Job Description: We are seeking a highly skilled Senior Data Scientist to join our team in Fort Meade, MD. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to complex business problems.

Responsibilities

  • Lead the design and implementation of data science projects
  • Develop predictive models and algorithms to drive business decisions
  • Analyze large datasets to uncover insights and trends
  • Collaborate with cross-functional teams to identify opportunities for data-driven solutions
  • Communicate findings and recommendations to stakeholders Requirements:
  • Bachelor's or Master's or Ph. D. in Computer Science, Statistics, Mathematics, or related field
  • 10+ years of experience in data science or related field
  • Proficiency in programming languages such as Python, R, or Java
  • Data visualization tools (e.g., Power BI, Tableau)
  • Experience with machine learning, statistical analysis, and data mining techniques.
  • Developing AI/ML tools for operational use
  • Experience with machine learning techniques and algorithms
  • Strong analytical and problem-solving skills
  • Excellent communication and presentation abilities

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