Senior ML & Data Scientist — OS Power & Performance

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 147,400 - 272,100; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Employee stock purchase plan

Tuition reimbursement for educational expenses

Job summary

Apple Inc. in Cupertino is seeking a Senior Machine Learning & Data Scientist to conduct quantitative analysis on high dimensional data influencing millions of users. The role involves producing metrics and models, applying statistical analysis, and collaborating across teams.

Ideal candidates will have a strong background in Computer Science or a related field and proficiency in data engineering processes. Attractive benefits include competitive salary, stock options, and comprehensive health coverage.

Qualifications

• Strong quantitative foundation required; strong mathematical and software engineering skills.
• Aptitude for transforming raw data into actionable insights.
• Ability to solve complex problems; communicate findings to stakeholders.

Responsibilities

• Analyze high dimensional data to derive meaningful insights.
• Produce metrics, models, simulations, and tools for analysis.
• Provide meaningful insights to influence product decisions.

Skills

Strong analysis

Machine learning

Aptitude for problem solving

Strong communication skills

Education

Education in Computer Science, Electrical Engineering, or related field

M.S. or Ph.D. in related quantitative field

Tools

ETL processes (Python & Spark)

Data visualizations (Tableau)

Distributed compute & storage technologies (HDFS, S3, Spark)

Automation/scheduling (Kubernetes, Airflow)

Job description

Cupertino, California, United States Software and Services

Great performance is critical to Apple's product experience. We are seeking a Senior Machine Learning & Data Scientist to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users. If the idea of developing data products to improve Apple’s software & hardware performance excites you, we encourage you to apply!

Description

We're looking for a proactive & impact-driven engineer with excellent machine learning, analytical, problem solving and communication skills. In this role, you will analyze high dimensional data to derive meaningful insights and be responsible for producing metrics, models, simulations, and tools for analysis & communication of insights from large datasets. To be successful, you must have a strong foundation in statistical analysis and the ability to apply it to solving business & product-development problems, as well as a strong software engineering background with the ability to write production level code. As a member of this team, you will have the opportunity to provide meaningful insights to teams and influence decisions across Apple on a broad range of products.

Responsibilities

• Analyze high dimensional data to derive meaningful insights.
• Produce metrics, models, simulations, and tools for analysis & communication of insights from large datasets.
• Apply statistical analysis to solving business & product-development problems.
• Provide meaningful insights to teams and influence decisions across Apple on a broad range of products.

Minimum Qualifications

• Strong Quantitative Foundation: Education in Computer Science, Electrical Engineering, or a related quantitative field. Strong mathematical foundations, software engineering, and broad knowledge of data analysis and practical machine learning are expected.
• Data Engineering and Analytics: Skilled at scalably transforming raw data into actionable insights through practical problem formulation followed by building of ETL processes (e.g. Python & Spark) and data visualizations (e.g. Tableau)
• Business Acumen and Problem-Solving: Ability to understand the broader business context, solve complex problems, and communicate findings effectively to stakeholders.
• Adaptability and Collaboration: Comfortable with ambiguity, eager to learn, and capable of working effectively in a collaborative environment. Strong interpersonal skills and the ability to build relationships with diverse stakeholders are essential.

Preferred Qualifications

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition
• Proficiency in distributed compute & storage technologies such as HDFS, S3, Iceberg, Spark, and Trino
• Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow)
• Working knowledge of Operating Systems
• Experience driving cross-functional projects with diverse sets of stakeholders
• Skilled at connecting data insights to the company's overall strategy and objectives.

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 $150,400 and $277,600, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.