AIML - Sr Data Scientist, Evaluation @ Apple
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About Sr Data Scientist - Evaluation
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of the Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across Apple devices.
Description
Research and develop evaluation methods to improve the quality of Apple user facing products such as Siri and Apple Intelligence. Collaborate with engineering teams to integrate your methodological developments into everyday product technologies. Work with large, complex data sets and solve non-routine analytical problems using advanced methods, including prompt engineering and building LLMs as judges. Responsibilities include data collection, quality control, requirements specification, and delivering insights through iterative pipeline prototypes. Advocate for product metric improvements and partner closely with product engineering on core machine learning algorithms and user experience evaluations.
Minimum Qualifications
- 5 years of relevant work experience
- Advanced degree in a quantitative field
- Proficiency in data science, machine learning, and analytics
- Skilled in SQL/Spark and scripting languages (Python, R, or Scala)
- Experience with experimental design and risk assessment
- Strong communication skills for technical and non-technical audiences
Preferred Qualifications
Proven ability to collaborate across functions, drive projects of various scopes, and adapt to new technologies. Experience with methods addressing human annotation variability is a plus.
Key skills/competency
Sr Data Scientist - Evaluation, data science, machine learning, analytics, evaluation, experimentation, SQL, Python, Spark, research
How to Get Hired at Apple
🎯 Tips for Getting Hired
- Research Apple's culture: Study their mission, values, and recent achievements.
- Customize your resume: Highlight relevant data science and evaluation skills.
- Prepare technical examples: Showcase SQL, Python, and analytics projects.
- Practice clear communication: Explain complex analyses in simple terms.