Data Privacy
AIML Senior Data Scientist, Experimentation
Data Privacy, Jackson, Mississippi, United States,
Apple seeks a seasoned data scientist with experience in building experimentation platforms to help deliver exceptional user experiences. This role supports the mission of enabling ML adoption across Apple's extensive ecosystem. Collaborating with engineers across various domains, the successful candidate will develop data products that offer reliable insights for Apple's applications and services.In this role you can expect to have the responsibilities:
Enhance the experimentation platform with statistical tools and techniquesCollaborate with various teams to automate experiments and improve methodologiesBuild data services to analyze telemetry data from billions of devicesDeliver data-driven insights for product launchesDevelop a platform roadmap for the next 2-3 yearsPartner with cross-functional teams to drive project successThis role comes with the following benefits:
Comprehensive medical and dental coverageRetirement benefitsRange of discounted productsFree servicesReimbursement for educational expensesStock purchase programsDiscretionary bonuses or commission paymentsRelocation assistanceThis role requires you to have:
At least 5 years of experience in statistical and machine learning theory and applications, particularly with experimentation techniquesExperience in designing, building, and shipping productsAbility to present data insights effectively and educate teamsProficiency in managing and monitoring data collection and analytics pipelinesExperience with object-oriented programming languages like Scala and PythonExperience with SQL and NoSQL databasesYou would benefit from having:
At least 8 years of experience in statistical and machine learning theory and applications, particularly with experimentation techniquesExperience in building large-scale data science pipelines and distributed systems using technologies like Spark, Kafka, or HiveMS/PhD in Computer Science, Data Science, Mathematics, Statistics, or related fieldsApple is committed to inclusion and diversity, ensuring 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.
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Enhance the experimentation platform with statistical tools and techniquesCollaborate with various teams to automate experiments and improve methodologiesBuild data services to analyze telemetry data from billions of devicesDeliver data-driven insights for product launchesDevelop a platform roadmap for the next 2-3 yearsPartner with cross-functional teams to drive project successThis role comes with the following benefits:
Comprehensive medical and dental coverageRetirement benefitsRange of discounted productsFree servicesReimbursement for educational expensesStock purchase programsDiscretionary bonuses or commission paymentsRelocation assistanceThis role requires you to have:
At least 5 years of experience in statistical and machine learning theory and applications, particularly with experimentation techniquesExperience in designing, building, and shipping productsAbility to present data insights effectively and educate teamsProficiency in managing and monitoring data collection and analytics pipelinesExperience with object-oriented programming languages like Scala and PythonExperience with SQL and NoSQL databasesYou would benefit from having:
At least 8 years of experience in statistical and machine learning theory and applications, particularly with experimentation techniquesExperience in building large-scale data science pipelines and distributed systems using technologies like Spark, Kafka, or HiveMS/PhD in Computer Science, Data Science, Mathematics, Statistics, or related fieldsApple is committed to inclusion and diversity, ensuring 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.
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