Apple
AIML - Sr Data Scientist, Data and ML Innovation
Apple, Cupertino, California, United States, 95014
AIML - Sr Data Scientist, Data and ML Innovation
Cupertino, California, United States
Machine Learning and AI
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the AIML Data organization is to improve products by using data as the voice of our customers. Within this organization, the mission of the Search Analytics team is to inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with Search engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
Description
Research and develop evaluation methods to improve the quality of Apple user-facing products, such as Siri and Search. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data collection and quality control, requirements specification, processing, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development. Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations. You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation. Minimum Qualifications
Proficiency in data science, machine learning, and evaluation. Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Proven ability to independently lead large-scale, open-ended analytical projects. Proficiency in critical thinking, problem-solving, and collaboration with cross-functional teams to address business needs. Strong communication skills for articulating and translating business questions into actionable insights using statistical techniques and available data. Strong programming skills in Python for data processing, with expertise in SQL or Spark. Proficient in data wrangling, prototyping data quality and evaluation pipelines for new methodology development, and building scalable solutions in collaboration with engineering teams to solve complex data challenges. 5 years of relevant work experience for M.S. or Ph.D. candidates, or 8 years of relevant work experiences for people with other degrees in quantitative fields. Key Qualifications
Preferred Qualifications
Extensive experience in generative model and application development, with a focus on data, evaluation, and automation, involving the adoption or development of cutting-edge methodologies and rigorous statistical analysis. Education & Experience
Additional Requirements
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Equal Opportunity Employer
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.
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Research and develop evaluation methods to improve the quality of Apple user-facing products, such as Siri and Search. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data collection and quality control, requirements specification, processing, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development. Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations. You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation. Minimum Qualifications
Proficiency in data science, machine learning, and evaluation. Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Proven ability to independently lead large-scale, open-ended analytical projects. Proficiency in critical thinking, problem-solving, and collaboration with cross-functional teams to address business needs. Strong communication skills for articulating and translating business questions into actionable insights using statistical techniques and available data. Strong programming skills in Python for data processing, with expertise in SQL or Spark. Proficient in data wrangling, prototyping data quality and evaluation pipelines for new methodology development, and building scalable solutions in collaboration with engineering teams to solve complex data challenges. 5 years of relevant work experience for M.S. or Ph.D. candidates, or 8 years of relevant work experiences for people with other degrees in quantitative fields. Key Qualifications
Preferred Qualifications
Extensive experience in generative model and application development, with a focus on data, evaluation, and automation, involving the adoption or development of cutting-edge methodologies and rigorous statistical analysis. Education & Experience
Additional Requirements
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Equal Opportunity Employer
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.
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