Freedom Technology Solutions Group, LLC logo
Information Technology & Services

Data Scientist 777

St. Louis, MOOnsiteFull TimePosted 1 month agoVisa sponsorship available

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Required skills

  • TS/SCI
  • CI Poly
  • Python
  • SQL
  • Data Wrangling
  • Feature Engineering
  • Statistical Analysis
  • Machine Learning
  • Model Evaluation
  • Probability

Nice to have

  • secure coding
  • NIST
  • FedRAMP
  • modern software development practices
  • organizational security processes

Role summary

Freedom Technology Solutions Group is seeking a Data Scientist with strong technical expertise, analytical rigor, and business acumen to generate actionable insights from data. The role requires proficiency in Python and SQL, with skills in data wrangling, statistical analysis, and machine learning for predictive model development. Candidates should understand probability, experimentation, and model performance, and excel at problem framing and translating complex findings for stakeholders. Familiarity with data pipelines, cloud environments (AWS, Azure, Google Cloud), and scalable architectures is expected. Responsibilities include managing data processes, providing reports, improving team efficiency, guiding junior personnel, and conducting root cause analysis. Required qualifications include TS/SCI clearance, a Bachelor's degree (Master's/PhD preferred) in a quantitative field, and 8+ years of experience, including significant applied knowledge of Data Engineering and Systems Engineering lifecycle. Experience leading data-related projects independently, testing AI models, and strong communication skills are essential. Knowledge of secure coding practices is desired.

Freedom Technology Solutions Group is seeking a Data Scientist that combines strong technical expertise with analytical rigor and business acumen to transform data into actionable insights. Proficient in programming languages such as Python and SQL, they are skilled in data wrangling, statistical analysis, and machine learning techniques to build and evaluate predictive models. They possess a deep understanding of probability, experimentation, and model performance, enabling them to select appropriate methods and ensure reliable results. Beyond technical capabilities, they excel at problem framing, critical thinking, and translating complex findings into clear, impactful narratives for stakeholders. With an awareness of data pipelines, cloud environments, and scalable architectures, they operate effectively within modern data ecosystems, ultimately driving informed decision-making and measurable organizational value.

Responsibilities:

  • Reports to a manager or head of a unit/department on a weekly basis.
  • Management of data processes and procedures for the team.
  • Providing metrics, reports, and presentations as requested by the government lead and PM
  • Work to improve efficiency with team processes
  • Contribute to team discussions and recommend improvements.
  • Guides and supports junior level personnel
  • Conduct root cause problem analysis and develop technical solutions to problems
  • Microsoft Word, PowerPoint and Excel
  • Knowledge of supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation (precision, recall, F1, ROC-AUC), feature engineering, and overfitting vs underfitting.
  • Knowledge of probability & distributions, hypothesis testing (A/B testing), regression (linear, logistic), Bayesian thinking, and experimental design.
  • Data Wrangling and Feature Engineering
  • Data Visualization and storytelling (Tableau, Matplotlib, Power BI
  • Knowledge of ETL processes, data pipelines and APIs/data integration
  • Cloud platforms (AWS, Azure, Google Cloud)
  • Understanding services (e.g., EC2, Lambda, S3, Kubernetes Services)
  • DevSecOps & Automation
  • Understanding of GitLab CI/CD, Databases (joins aggregations, performance tuning), Big data tools (Spark, Hadoop), Data manipulation (Pandas, NumPy), and programming.
  • Agile, DevSecOps, & Development Lifecycle Tools
  • Required Qualifications:

  • TS/SCI (eligible for CI Poly)
  • Bachelor’s required; Master's degree or PhD (preferred) in Data Science, Physics, Engineering, Mathematics or related quantitative science field.
  • 8+ years of experience
  • Ability to develop and use more complex concepts and processes
  • Significant applied knowledge of Data Engineering.
  • Strong understanding of the systems engineering lifecycle to include independent testing and data verification.
  • Ability to lead/manage any data-related project with no supervision.
  • Familiarity with testing AI models including computer vision and generative models.
  • Strong written and oral communication skills to include briefing and creation of presentations.
  • Ability to visualize results and explain problem solving steps to increase understanding to all levels
  • Ability to develop algorithm description documentation for software development.
  • Simulation and modeling experience.
  • Working knowledge and practical application of data wrangling (handling missing data, data cleaning and normalization, transforming raw data into usable features, and working with structured + unstructured data.
  • Self-starter with the ability to learn, research, and solve problems on their own accord.
  • Works highly independent
  • Desired Qualifications:

  • Knowledge of secure coding best practices and compliance standards (NIST, FedRAMP, etc.)
  • Knowledge of Cloud Platforms (AWS, Azure)
  • Experience with modern software development practices
  • Experience with navigating organizational security processes.
  • Experience developing and delivering contract deliverables
  • What’s in It for You? Flexible work environment A team mentality – work with friendly, like-minded professionals Work with innovative, cutting edge technologies Enjoy extremely competitive compensation and benefits A work-life balance you can count on Opportunities to grow and advance your career on our dime The Benefits You Get with Freedom Amazing benefits including matching 401k, fully paid medical, and more Generous paid time off – including paid site closure days Competitive salary offerings Paid training and tuition reimbursement Referral bonuses Fully paid life and disability Annual logo wear allowance Company sponsored events (game nights, holiday party, summer party, happy hours) Interested in learning more about Freedom and our culture? Contact us today! We’re constantly hosting hiring events in our office and elsewhere, to help you get a sense of what life is like at Freedom before joining the team. As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status Applicant Federal & E-Verify Postings VEVRAA Federal Contractor Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at Phone: 410-290-9035 Email: recruiting@goftsg.com Equal Opportunity Employer, including disabled and veterans. If you want to view the EEO Law poster, please choose your language: English - Spanish - Arabic - Chinese If you want to view the EEO Law Supplement poster, please choose your language: English - Spanish - Chinese If you want to view the Pay Transparency Policy Statement, please click the link: English
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