AIML - Data Scientist, Evaluation

Role overview

Responsibilities

• check_circle Research and develop evaluation methods to improve the quality of Apple user facing products, such as Siri and Apple Intelligence.
• check_circle Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day.
• check_circle Work with large, complex data sets.
• check_circle Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed, including prompt engineering and building LLMs as judges.
• check_circle Conduct analysis that includes data collection and quality control, requirements specification, processing and presentations.
• check_circle Build and prototype analysis pipelines iteratively to provide insights at scale.
• check_circle Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development.
• check_circle Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations.
• check_circle You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation.

Basic qualifications

• 5 years of relevant work experience.
• Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field.
• Proficiency in data science, machine learning, and analytics, including statistical data analysis.
• Experience crafting, conducting, analyzing, and interpreting experiments and investigations, especially on data quality, evaluation and risk assessment.
• Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).
• Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
• Strong communication skills and the ability to naturally explain difficult technical topics (especially causal topics) to everyone from data scientists to engineers to business partners.

Preferred qualifications

• Proven ability to collaborate effectively across functions and work well within a team.
• Capable of driving projects of varying sizes and scopes - some will take months and some weeks - and you will need to know when to dive deep.
• Worked with methods that address accuracy and variability in human annotation data.
• Ability to learn new technology and skills to accommodate changing working requirements.

Benefits

• check_circle At Apple, base pay is one part of our total compensation package and is determined within a range.
• check_circle This provides the opportunity to progress as you grow and develop within a role.
• check_circle The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.
• check_circle Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
• check_circle 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.
• check_circle 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.
• check_circle Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.