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 in order to automate analysis processes.
• Strong communication & visualization of the data to articulate the findings.
• Develop and implement data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Design, model, and document the logical and conceptual relationship 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 that curated data is accurate, repeatable, and explainable.
• Solid communication skills (written, verbal, and visual).
• Ability to communicate data and engineering analysis regarding conclusions that were reached.
• Ability to create and present data reports to support investigations.
• Excellent attention to detail.
• Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques.
• Basic Qualifications for a Principal Data Scientist: Bachelor's degree in a technical area with 5 years of relevant experience (3 years with MS; 0 with PhD), knowledge of data gathering, cleansing and transformation techniques, experience with Python and Tableau, experience with Python packages such as pandas, numpy, matplotlib, and ability to obtain and maintain a Top Secret (TS/SCI) clearance.
• Basic Qualifications for a Sr. Principal Data Scientist: Bachelor's degree in a technical area with 8 years of relevant experience (6 years with MS; 4 with PhD), knowledge of data gathering, cleansing and transformation techniques, experience with Python and Tableau, experience with Python packages such as pandas, numpy, matplotlib, and ability to obtain and maintain a Top Secret (TS/SCI) clearance.

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.
• Active TS/SCI clearance with poly.

Qualifications

• For Principal Data Scientist: Bachelor's degree in a technical area with 5 years of relevant experience (3 years with MS; 0 with PhD).
• For Sr. Principal Data Scientist: Bachelor's degree in a technical area with 8 years of relevant experience (6 years with MS; 4 with PhD).
• Knowledge of data gathering, cleansing and transformation techniques.
• Experience with data science toolkits such as Python and Tableau.
• Experience using Python packages: pandas, numpy, matplotlib.
• Experience developing and presenting data visualizations for scientific analysis.
• Ability to obtain and maintain a Top Secret (TS/SCI) clearance.

Benefits & Perks

• Salary Range: $115,800.00 - $173,800.00
• Salary Range 2: $144,300.00 - $216,400.00
• Employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
• Annual bonuses, Long Term Incentives for Vice President or Director positions.
• Benefits including health insurance coverage, life and disability insurance, savings plan, company paid holidays, and paid time off (PTO).