AIML - Senior Data Scientist, Evaluation
Apple
AIML - Senior Data Scientist, Evaluation
Job Description
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The AIML Evaluation org works with teams across Apple to build platforms, create methodologies, and enable partners to measure, understand, and proactively improve their products. We are looking for an outstanding candidate to become a member of the Evaluation team to help own and drive part of our technical portfolio for Apple Intelligence. Our work ensures that Apple systems maintain the highest standards for data quality and user privacy compliance. As a Sr. Data Scientist on the AIML Evaluation team, you will be a technical leader responsible for ensuring data quality and privacy compliance across Apple Intelligence, Siri, and other critical products. You will design monitoring systems that validate data meets Apple's rigorous privacy standards while enabling teams to measure and improve product quality at scale. This role requires both analytical rigor and robust engineering skills. Successful candidates will need to have a passion for user privacy and superb communication skills with an ability to influence at all levels of the organization, from junior engineers to Sr. Directors and SVPs. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You should be comfortable with ambiguity and a complex cross-functional environment, requiring relentless collaboration and laser focus on outcomes.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- analytical rigorintermediate
- robust engineering skillsintermediate
- passion for user privacyintermediate
- superb communication skillsintermediate
- ability to influenceintermediate
- creative problem solvingintermediate
- analytical skillsintermediate
- deductive reasoning skillsintermediate
- comfortable with ambiguityintermediate
- relentless collaborationintermediate
- laser focus on outcomesintermediate
Required Qualifications
- 7+ years of industry experience in Data Science, Data Engineering, or Data Analytics (experience, 7 years)
- Experience leading strategic technical projects with multiple stakeholders and directing work of other engineers and/or data scientists or as a technical lead (experience)
- Strong collaboration, communication, interpersonal, and organizational skills (experience)
- Ability to solve complex problems independently (experience)
- Strong programming skills in Python and SQL, with experience in data manipulation, processing, and analytics pipelines (experience)
- Demonstrated commitment to user privacy and understanding of data privacy principles (experience)
- Experience designing or implementing privacy-preserving data practices, compliance monitoring, or data governance systems (experience)
Preferred Qualifications
- Master’s in a technical or quantitative field such as Statistics, Biostatistics, Computer Science, Machine Learning, Operations Research, Mathematics or 10+ years of industry experience with demonstrated technical leadership (experience, 10 years)
- Experience with analytic design and logging frameworks (experience)
Responsibilities
- As a Sr. Data Scientist on the AIML Evaluation team, you will be a technical leader responsible for ensuring data quality and privacy compliance across Apple Intelligence, Siri, and other critical products. You will design monitoring systems that validate data meets Apple's rigorous privacy standards while enabling teams to measure and improve product quality at scale. This role requires both analytical rigor and robust engineering skills.
- Successful candidates will need to have a passion for user privacy and superb communication skills with an ability to influence at all levels of the organization, from junior engineers to Sr. Directors and SVPs. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You should be comfortable with ambiguity and a complex cross-functional environment, requiring relentless collaboration and laser focus on outcomes.
- Partner with product, data science, and engineering teams to define data quality metrics and contribute to privacy-compliant logging design.
- Build production data pipelines with automated quality validation, compliance checks, and alerting systems to ensure data integrity across development and production environments.
- Investigate, diagnose, and measure impact of data quality and compliance issues, recommend remediation strategies, and communicate findings to technical and non-technical stakeholders.
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Answer 10 quick questions to check your fit for AIML - Senior Data Scientist, Evaluation @ Apple.
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AIML - Senior Data Scientist, Evaluation
Apple
AIML - Senior Data Scientist, Evaluation
Job Description
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The AIML Evaluation org works with teams across Apple to build platforms, create methodologies, and enable partners to measure, understand, and proactively improve their products. We are looking for an outstanding candidate to become a member of the Evaluation team to help own and drive part of our technical portfolio for Apple Intelligence. Our work ensures that Apple systems maintain the highest standards for data quality and user privacy compliance. As a Sr. Data Scientist on the AIML Evaluation team, you will be a technical leader responsible for ensuring data quality and privacy compliance across Apple Intelligence, Siri, and other critical products. You will design monitoring systems that validate data meets Apple's rigorous privacy standards while enabling teams to measure and improve product quality at scale. This role requires both analytical rigor and robust engineering skills. Successful candidates will need to have a passion for user privacy and superb communication skills with an ability to influence at all levels of the organization, from junior engineers to Sr. Directors and SVPs. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You should be comfortable with ambiguity and a complex cross-functional environment, requiring relentless collaboration and laser focus on outcomes.
Locations
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- analytical rigorintermediate
- robust engineering skillsintermediate
- passion for user privacyintermediate
- superb communication skillsintermediate
- ability to influenceintermediate
- creative problem solvingintermediate
- analytical skillsintermediate
- deductive reasoning skillsintermediate
- comfortable with ambiguityintermediate
- relentless collaborationintermediate
- laser focus on outcomesintermediate
Required Qualifications
- 7+ years of industry experience in Data Science, Data Engineering, or Data Analytics (experience, 7 years)
- Experience leading strategic technical projects with multiple stakeholders and directing work of other engineers and/or data scientists or as a technical lead (experience)
- Strong collaboration, communication, interpersonal, and organizational skills (experience)
- Ability to solve complex problems independently (experience)
- Strong programming skills in Python and SQL, with experience in data manipulation, processing, and analytics pipelines (experience)
- Demonstrated commitment to user privacy and understanding of data privacy principles (experience)
- Experience designing or implementing privacy-preserving data practices, compliance monitoring, or data governance systems (experience)
Preferred Qualifications
- Master’s in a technical or quantitative field such as Statistics, Biostatistics, Computer Science, Machine Learning, Operations Research, Mathematics or 10+ years of industry experience with demonstrated technical leadership (experience, 10 years)
- Experience with analytic design and logging frameworks (experience)
Responsibilities
- As a Sr. Data Scientist on the AIML Evaluation team, you will be a technical leader responsible for ensuring data quality and privacy compliance across Apple Intelligence, Siri, and other critical products. You will design monitoring systems that validate data meets Apple's rigorous privacy standards while enabling teams to measure and improve product quality at scale. This role requires both analytical rigor and robust engineering skills.
- Successful candidates will need to have a passion for user privacy and superb communication skills with an ability to influence at all levels of the organization, from junior engineers to Sr. Directors and SVPs. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You should be comfortable with ambiguity and a complex cross-functional environment, requiring relentless collaboration and laser focus on outcomes.
- Partner with product, data science, and engineering teams to define data quality metrics and contribute to privacy-compliant logging design.
- Build production data pipelines with automated quality validation, compliance checks, and alerting systems to ensure data integrity across development and production environments.
- Investigate, diagnose, and measure impact of data quality and compliance issues, recommend remediation strategies, and communicate findings to technical and non-technical stakeholders.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Senior Data Scientist, Evaluation @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs