Apple is looking for a seasoned data scientist to focus on experimentation and exploratory analysis to improve user experience and drive growth for subscription services and product development.
Requirements
- At least 5 years of industry experience managing Controlled Experimentation.
- At least 3 years of industry experience with Experiment design and hypothesis testing.
- At least 3 years of industry experience with Applied Statistics with Experimentation Optimization techniques.
- At least 3 years of industry experience with Variance Reduction and Rare Event detection.
- At least 3 years of industry experience with Data mining skills with SQL, Scala, and PySpark.
- At least 3 years of industry experience with Python or R
- Statistical Modeling and Machine Learning.
- Anomaly detection and causal inference model.
- Use of git for version control.
- Java or C++ programming languages.
Responsibilities
- Improve quality of experimentation, hypothesis generation, statistical techniques, rare event detection and underlying infrastructure.
- Hyper parameter optimization, exploratory and ad-hoc analysis to improve customer experience.
- Cut through the noise in data, identify key findings and distill recommendations for engineering, product and business owners.
- Partner closely with engineering, product and machine learning teams.
- Work on initiatives to improve user experience and drive growth.
- Support user growth of subscription services, product development and optimization.
- Covering a wide area of the data spectrum including A/B Testing, causal inference and analytics.
Other
- 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.
- Strong communication skill with experience in driving executive presentations.
- Adept at structuring and solving complex open ended problems.
