Work on initiatives to improve user experience and drive growth - Partner closely with engineering product and machine learning teams. Work falls broadly into three areas: Experimentation: Improve quality of experimentation hypothesis generation statistical techniques rare event detection and underlying infrastructure. Optimization: Hyper parameter optimization exploratory and ad-hoc analysis to improve customer experience. Advisory: Cut through the noise in data identify key findings and distill recommendations for engineering product and business owners.
At least 5 years of industry experience managing Controlled Experimentation.
At least 3 years of industry experience with the following:
- Experiment design and hypothesis testing.
- Applied Statistics with Experimentation Optimization techniques.
- Variance Reduction and Rare Event detection.
- Data mining skills with SQL Scala and PySpark.
- Python or R
Masters or PhD in Statistics Engineering Applied Mathematics or a related academic field.
Exposure to consumer technology.
Demonstrate a strong product acumen.
Ability to collaborate with cross functional teams ranging from engineering and product to business.
Adept at structuring and solving complex open ended problems.
Strong communication skill with experience in driving executive presentations.
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