Data Analyst – Digital

Key Responsibilities:

• Research, prototype, and build analysis and visualizations for our Machine Learning pipeline.
• Stay up to date with emerging technology and learn new technologies/libraries/frameworks
• Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, and systems design
• Deliver on time with a high bar on quality of research, innovation and engineering

Basic Qualifications:

• Strong knowledge of statistical techniques and advanced mathematics.
• 3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred).
• 5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data – specifically around experimental design, KPI calculation, and A/B testing.
• 4+ years of experience in manipulating big data using Python, PySpark, or SQL.
• Expert Experience with data visualization tools in Python, PowerBI, etc.
• Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience.

Preferred Qualifications:

• Master’s Degree or higher in Computer Science/Engineering/Math, or relevant experience
• Experience working with Machine Learning models – evaluation, observability, and performance monitoring.
• Experience working closely with a business team to determine primary KPIs on an ambiguous problem.