AIML - Sr Data Scientist, Data and ML Innovation
Apple
Summary
Description
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
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. Learn more about your EEO rights as an applicant.