At Apple, the business problem is to develop the next generation of analytical solutions to drive the exploration, analysis, development, execution, and measurement solutions that are essential to running and growing the ads marketplace, while empowering people and respecting everyone’s privacy.
Requirements
- Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy
- Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods
- Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark
- Familiarity with job orchestration frameworks such as Airflow
- Demonstrated experience in applying statistics and machine learning to generate clear actionable insights
- Experience in the mobile advertising industry or related field
- Familiarity with building visualizations, dashboards and enable broader consumption of insights and tools for investigations
Responsibilities
- Support Marketplace Product, Engineering, and the Executive Team with analyses, and data products to improve product performance, deepen customer insight and deliver business impact.
- Empower the product and algorithm engineering team with insights to advise and fulfill their strategic objectives and goals
- Quantify the impact of marketplace initiatives on advertiser impact, and business performance
- Design experiments that help define opportunities for pricing, matching, and prediction models leading to improved marketplace performance, and positive advertiser impact
- Monitor usage metrics and provide business-based explanations for large scale trends and patterns in advertiser lifecycle behavior
- Develop reusable models and data products working closely with Data Engineering team to ensure scalability of models and products in production
- Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers
Other
- Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
- 1+ years of recent experience in a data science role
- Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership
- Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems
- Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment
