AIML - Data Scientist, Data and ML Innovation

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.

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.

Solid foundation in data science, machine learning, and evaluation, with hands-on experience in independently conducting and analyzing experiments. Ability to take ownership of smaller analytical projects and contribute effectively to larger initiatives. 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, and able to assist in prototyping data quality and evaluation pipelines, working alongside engineering teams to help solve data challenges. Some relevant internship or work experience for M.S. or Ph.D. candidates, or 3 years of relevant work experiences for people with other degrees in quantitative fields.

Experience in generative model and application development, with a focus on data, evaluation, and automation. Ability to adopt or implement established methodologies and apply statistical analysis in problem-solving.

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 $135,400 and $250,600, 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. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.