Cupertino, California, United States Description Support Marketplace Product, Engineering, and the Executive Team with analyses and data products to improve product performance, deepen customer insights, and deliver business impact. Responsibilities include: Empowering the product and algorithm engineering team with insights to meet strategic objectives. Quantifying the impact of marketplace initiatives on advertiser impact and business performance. Designing experiments to identify opportunities for pricing, matching, and prediction models. Monitoring usage metrics and explaining large-scale trends in advertiser behavior. Developing scalable models and data products in collaboration with Data Engineering. Leading business analytics projects from investigation to presentation. Minimum Qualifications 2+ years of recent experience in data science. Programming skills in Python and SQL; familiarity with machine learning frameworks like scikit-learn, xgboost, PyTorch, SciPy. Knowledge of statistical analysis methods including regression, causal inference, and A/B testing. Experience applying statistics and machine learning to generate actionable insights. Familiarity with data stores such as Hadoop and Snowflake, and distributed analytics engines like Spark/PySpark. Excellent communication skills for technical and executive audiences. Ability to collaborate with engineering teams and develop prototypes for complex problems. Ability to thrive in a fast-paced, evolving environment. Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, or related field. Preferred Qualifications 4+ years of recent experience in data science. Experience in mobile advertising or related fields. Familiarity with job orchestration frameworks like Airflow. Ability to build visualizations and dashboards for broader insight sharing. Post-bachelor's degree in relevant fields. Note: Compensation ranges from $147,400 to $272,100, based on skills and experience. Benefits include medical/dental coverage, retirement plans, stock options, educational reimbursement, and more. Apple is an equal opportunity employer promoting diversity and inclusion.

#J-18808-Ljbffr