Data Scientist 777

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.