Summary

Description

Minimum Qualifications

• 6+ years of recent experience in data science or machine learning role
• Working experience with Python and SQL
• Comfortable with hybrid cloud technologies such as Hadoop, AWS, Snowflake, Spark and PySpark
• Experience in quantitative analysis including time-series, regression, classification, and clustering
• Ability to clearly and effectively communicate the results of analyses with product and leadership teams, to influence the overall strategy of the product
• Ability to partner with engineering, meet the data needs of the business, find creative analytical solutions and develop initial prototypes to address messy business problems
• Experience with end-to-end implementation of a model prototype specifically training, processing, feature engineering, evaluating model outputs, and putting models into production
• Ability to operate comfortably and effectively in a fast-paced, multi-functional, continuously evolving environment
• Bachelor's in Computer Science, Applied Mathematics or similar quantitative field

Preferred Qualifications

• 6+ years of recent experience in data science or machine learning role, within digital advertising industry or related field
• Familiarity with packages such as scikit-learn, XGBoost, PyTorch, and JAX is highly desirable
• Deep learning and Time series forecasting is highly desired.
• Familiarity with job orchestration frameworks like Airflow
• Graduate degree in Computer Science, Applied Mathematics or similar quantitative field

• Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.