Responsibilities
-
Work with mobile client engineers to help them define and analyze data for improving product performance and quality
-
Define and maintain a set of key product performance and quality metrics
-
Develop techniques for highlighting significant changes in performance and quality metrics (e.g. between two software releases)
-
Develop techniques for tracking performance and quality metrics over time
-
Work with tool engineers to automate workflows and create tools for performance and quality metrics tracking
-
Lead individual projects for making data-driven product improvements
Minimum Qualifications
-
Understanding of statistical data analysis techniques used for classification, regression, clustering, dimensionality reduction, anomaly detection
-
2+ years or experience applying statistical data analysis to real-life problems
-
Knowledge of data analysis tools and libraries like “PyData” and R
-
Ability to present data and communicate analysis results in a way that doesn't require statistical background to understand
-
Ability to work independently, determining what to instrument and collect, with an eye toward improving the product
-
Ability to automate data analysis steps using Python
-
BS in statistics, math or equivalent