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Data Scientist – Fraud Engineering, Algorithms, and Risk 1164 views

They are seeking a data scientist with a drive to turn the huge amounts of data generated by these applications into insights that enhance safe customer experiences. A successful candidate will have a bent for self-directed research and have the ability to tell stories using data. You will work with product teams, data engineers, and experts in machine learning to measure and monitor trust and safety issues across Apple’s services. They foster a collaborative work environment but allow solution autonomy on projects.

Key Qualifications

  • Working knowledge of big data tools preferred (SQL, Spark, and Splunk)
  • Excellent interpersonal, written, and verbal communication skills
  • Confidence working independently and making key decisions on projects
  • Knowledge of machine learning algorithms including classifiers, clustering algorithms, and anomaly detection a plus


Their team is responsible for ensuring trust and safety across Appleā€™s Internet Software and Services organization. You will work hand-in-hand with other engineers, program managers, and business partners to understand problems, define solutions, execute plans, measure, and communicate results on a regular basis.

Education & Experience Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.


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