Description

You will design, model, and implement data collection systems and analytics strategies to optimize statistical efficiency and quality.

This role is on-site.

Responsibilities

• Analyze multiple data sources to identify trends and patterns using engineering fundamentals.
• Design and document logical and conceptual data relationships and database changes for metrics.
• Develop tools to automate analysis processes and improve pipeline efficiency.
• Interpret results using statistical techniques and provide ongoing reports and visualizations.
• Perform root-cause analysis to ensure curated data is accurate, repeatable, and explainable.

Required Skills

• 8+ years of relevant experience with a Bachelor's degree in a technical area.
• Proficiency in Python, including pandas, numpy, and matplotlib.
• Experience with Tableau for data visualization and scientific analysis.
• Knowledge of data gathering, cleansing, and transformation techniques.
• Ability to obtain and maintain a Secret clearance (US Citizenship required).
• Strong requirements analysis and stakeholder engagement skills.
• Ability to communicate engineering analysis and conclusions to technical and non-technical audiences.

Preferred Skills

• Proficiency in SQL and applied statistics including distributions, testing, and regression.
• Experience with Gitlab CI/CD, Linux, MATLAB, and JMP (SAS statistical tool) with JSL scripting.
• Product Lifecycle experience and mentoring peers in data science projects.

Key Skills

Education

Any Graduate