Principal/ Sr Principal Data Science Engineer

About the Role

Key Responsibilities

• Analyze multiple data sources from cross-disciplinary teams to identify trends and patterns using engineering fundamentals.
• Interpret data, analyze results using statistical techniques and provide ongoing reports to stakeholders of varying scientific fields.
• Summarize and socialize data, make conclusions and provide direction on problems identified.
• Effectively generate ideas and support building tools to automate analysis processes.
• Strongly communicate and visualize data to articulate findings.
• Develop and implement data collection systems, data analytics, and strategies that optimize statistical efficiency and quality.
• Design, model, and document the logical and conceptual relationships of data and database changes for metrics and analytics.

Requirements

• Comfort with requirements-analysis and stakeholder engagement.
• Strong problem-solving skills and root-cause analysis to ensure data accuracy, repeatability, and explainability.
• Solid communication skills (written, verbal, and visual) to convey data and analysis conclusions.
• Ability to create and present data reports to support investigations.
• Excellent attention to detail.
• Development and programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis techniques.
• Basic qualifications for a Principal Data Scientist include a Bachelor's degree in a technical area with 5 years of relevant experience (or 3 years with a MS, or PhD with no experience), knowledge of data gathering, cleansing, and transformation techniques, experience with Python and Tableau, and proficiency with Python packages such as pandas, numpy, and matplotlib.
• Basic qualifications for a Sr. Principal Data Scientist include a Bachelor's degree in a technical area with 8 years of relevant experience (or 6 years with a MS, or 4 years with a PhD), and similar technical skills as above.
• Ability to obtain and maintain a Top Secret (TS/SCI) clearance; US citizenship required.

Nice to Have

• Product Lifecycle experience.
• Proficient using query languages such as SQL.
• Experience mentoring and leading peers in data science projects.
• Strong applied statistics skills, such as distributions, statistical testing, regression, etc.
• JMP proficiency (SAS statistical tool) and experience scripting in JSL.
• MATLAB experience.

Qualifications

• Bachelor's degree in a technical area with 5 years of relevant experience for Principal level, or 8 years for Sr. Principal level.
• Knowledge of data gathering, cleansing, and transformation techniques.
• Experience with Python, Tableau, and Python packages such as pandas, numpy, and matplotlib.
• Ability to develop and present data visualizations for scientific analysis.
• Must be able to obtain and maintain a Top Secret (TS/SCI) clearance; US citizenship required.

Benefits & Perks

• Salary range from $115,800 to $173,800, or $144,300 to $216,400 depending on the position.
• Overtime, shift differential, and discretionary bonuses may be available.
• Annual bonuses based on individual contributions and company results.
• Long Term Incentives for Vice President or Director positions.
• Health insurance coverage, life and disability insurance, savings plan, company paid holidays, and paid time off (PTO).