Data Scientist 777

Freedom Technology Solutions Group; St. Louis (MO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work environment

Competitive compensation

Work-life balance

Growth opportunities

401k matching

Medical coverage

Paid time off

Tuition reimbursement

Job summary

Freedom Technology Solutions Group is seeking a Data Scientist who combines strong technical expertise with analytical rigor and business acumen to transform data into actionable insights. Proficient in Python and SQL, they will wrangle data, build predictive models, and evaluate performance to drive decision-making.

The role emphasizes problem framing, clear storytelling, and collaboration with stakeholders.

Qualifications

• 8+ years of experience in data science or closely related field.
• Bachelor's degree required; master's/PhD preferred in a quantitative field.
• Strong programming in Python and SQL.
• Experience with data wrangling, feature engineering and model evaluation.
• Ability to lead data-related projects with minimal supervision.

Responsibilities

• Develop and deploy predictive models and evaluate performance.
• Frame problems, communicate findings, and tell data-driven stories.
• Manage data processes and provide metrics and reports.
• Collaborate with government leads and PMs to drive value.
• Support data pipelines, cloud environments, and scalable architectures.

Skills

Python

SQL

Data wrangling

Statistical analysis

Machine learning

Model evaluation

Feature engineering

Probability

A/B testing

Experiment design

Data visualization

Tableau

Power BI

Pandas

NumPy

Spark

Hadoop

APIs

Data integration

Data pipelines

GitLab CI/CD

Education

Bachelor's degree

Master's degree or PhD (preferred)

Tools

Spark

Hadoop

GitLab CI/CD

Pandas

NumPy

Tableau

Power BI

SQL

Job description

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
• 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

Fully paid life and disability

Company sponsored events (game nights, holiday party, summer party, happy hours)

As an Equal Opportunity Employer, we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status

As set forth in Freedom Technology Solutions Group’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at

Phone: [phone]

Equal Opportunity Employer, including disabled and veterans.