AIML - Data Scientist, Data Operations Analytics

Key Skills

Aartificial intelligence, AWS, Data Analytics, Data science techniques, Design, Java Programming, Machine learning techniques, Operations, Python Programming, SPARK Programming, SQL, Tableau

Job Description

You will contribute to our mission by providing high-quality modeling, analysis, and visualizations, developing metrics, and producing insights that advise decisions made by cross-functional partners. You will work independently to achieve team goals, bridging gaps in understanding between the Analytics team and our customers.

• Elicit requirements, develop, maintain, and manage sophisticated reporting, analytics, dashboards and other business intelligence solutions for our internal customers

• Apply analytical methods to large data sets to identify sources of value and inform the business decisions that improve organizational performance

• Perform and document analysis, validation, and data mapping/design

• Find opportunities for organizational optimization; work with partners to frame opportunities; identify, model, and evaluate alternatives, and implement the winners. And plan retrospective analyses to validate improvements

• Apply machine learning to make predictions that inform action. Start with potential sources of value and work back to the required data and model to unlock them. Propose and present solutions to decision makers

Minimum Qualifications

• Experience in data science with skills in framing and developing meaningful and concise analytic solutions to general business problems; A/B testing experience is a plus
• Facility in SQL-based languages, and proficiency in at least one general purpose programming language such as Python or Java
• Hands-on experience with machine learning models and sophisticated analytic solutions using libraries such as scikit-learn; Experience with LLMs (GenAI for business processes, SFT for specific business situations) a plus
• Excellent communication and presentation skills, meticulous attention to detail, and the ability to collaborate optimally between business and analytic teams at multiple levels of the organization
• Intellectual curiosity and dedication to learn and understand business needs
• Minimum of a Bachelor’s degree in Economics, Physics, Statistics, Computer Science, Mathematics, Engineering, or related field

Preferred Qualifications

• Experience using git for source control
• Experience with cloud platforms like AWS
• Experience in data visualization like Tableau
• Experience in big data technologies like Spark
• Experience in software development life cycle standard processes
• Advanced degree or equivalent experience in a related field a plus

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 $165,500 and $248,700, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. 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. 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. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.