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Apple AIML - Data Scientist ML Innovation United States, Washington, Seattle 180666159
18.11.2024
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Minimum Qualifications
- 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.
Preferred Qualifications
- 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.
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 $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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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