Finding the best job has never been easier
Apple Data Scientist Applied Science Program United States, California, Cupertino 320791479
13.08.2024
Share
Description
- Create tools to support self-service analytics, geospatial analytics, automated disaster recovery, self-healing data engineering pipelines, real time reporting, and decision support systems- Apply data science to core finance processes to automate and elevate capability, forecasting, accruals, accounting entries prep, IA process, risk mitigation, etc.
Minimum Qualifications
- Proficient in at least one programming language (Python/Scala/Java preferred)
- Practical experience (gained through work/classroom/personal projects) with querying language such as SQL and extracting insights from complex data sets
- Theoretical understanding of data modeling concepts, data structures, and machine learning algorithms
- Experience implementing machine learning solutions to answer real-world questions a plus
- Experience with big data processing technology (MapReduce/Spark/S3/Data Lake) a plus
- Effective communication to translate complex, ambiguous concepts into concise, business-focused solutions
- Standout colleague, meticulous, and a self-starter
- Thrives in a fast-paced environment
Preferred Qualifications
- Bachelors or Masters in Data Science, Computer Science, or related Engineering field
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 $56.65 and $85.52/hr, 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.
These jobs might be a good fit
