Senior Data Scientist

Responsibilities

• Reports to a manager or head of a unit/department on a weekly basis.
• Manages data processes and procedures for the team.
• Provides metrics, reports, and presentations as requested by the government lead and PM.
• Works to improve efficiency with team processes.
• Contributes to team discussions and recommends improvements.
• Guides and supports junior level personnel.
• Conducts root cause problem analysis and develops technical solutions to problems.

Requirements

• TS/SCI clearance (eligible for CI Poly).
• Bachelor's degree required; Master's or PhD preferred in Data Science, Physics, Engineering, Mathematics, or related quantitative science field.
• 8+ years of experience.
• 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.
• 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 independently.

Qualifications

• Knowledge of secure coding best practices and compliance standards (NIST, FedRAMP, etc.).
• Experience with modern software development practices.
• Experience with navigating organizational security processes.
• Experience developing and delivering contract deliverables.

Key Technologies

• Microsoft Word, PowerPoint and Excel.
• Supervised learning (classification, regression).
• Unsupervised learning (clustering, dimensionality reduction).
• Model evaluation (precision, recall, F1, ROC-AUC).
• Data Wrangling and Feature Engineering.
• Data Visualization and storytelling (Tableau, Matplotlib, Power BI).
• 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 SonarQube, Nexus, etc. for code and dependency scanning.

Pay, Schedule, Benefits

Flexible work environment
Team mentality – work with friendly, like-minded professionals
Work with innovative, cutting edge technologies
Enjoy Extremely Competitive Compensation And Benefits
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)