Apple's advertising platform needs to deliver ads in a way that benefits both consumers and advertisers, helping people discover content, supporting creators, and protecting user privacy. The Ad Platforms Data Insights team is looking for a Data Scientist to develop the next generation of analytical solutions to drive exploration, analysis, development, execution, and measurement solutions essential to running and growing the ads marketplace.
Requirements
- Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary.
- Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods.
- Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
- 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 ability to build 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
- 4+ 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.
- 7+ years of recent experience in a data science role.
