Machine Learning Data Scientist - Core Insights, Apple Ads

Machine Learning Data Scientist - Core Insights, Apple Ads

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.

Responsibilities

• 4+ years of recent experience in a data science role.
• Bachelor's in computer science, mathematics, or another quantitative field
• Command over Python and SQL.
• Comfort with cloud technologies such as AWS and Snowflake.
• Experience with Big Data tools such as Hadoop, Spark and PySpark.
• Experience in quantitative analysis including regression, classification, linear optimization, supply chain analytics, and time-series analyses.
• Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product.
• Ability to partner with engineering, meet the data needs of the business, find creative analytical solutions, and develop initial prototypes to address business problems.
• Experience with end-to-end implementation of a model prototype specifically training, processing, feature engineering, evaluating model outputs, and putting models into production.

Minimum Qualifications

• 5+ years of experience in Business Analytics, Data Science, or a related analytical role
• Strong data analysis skills, including the ability to conduct deep dives using statistical methods and data science techniques
• Exceptional communication skills, with the ability to communicate complex analyses clearly to executive and technical audiences
• Demonstrated ability to collaborate with cross-functional partners such as Product, Sales, and Marketing to design experiments and analyses that inform business decisions
• Proficiency in SQL and data visualization, with a strong eye for design and clarity
• Strong programming skills in Python, with experience using libraries such as Pandas, SciPy, and scikit-learn
• Comfortable querying and analyzing large datasets using tools such as SQL, Snowflake, or similar analytical data platforms
• Bachelor's degree in a related field, or equivalent industry experience

Preferred Qualifications

• Masters degree or Ph.D. in a quantitative discipline.
• Experience in the digital advertising industry or a related field and/or experience with demand forecasting
• Willingness to learn, both technically and in the domain of the data.
• Familiarity with packages like numpy, pandas, scikit-learn, and prophet
• Familiarity with job orchestration frameworks like git, Airflow, CI/CD, Kubernetes, Docker, Jenkins.
• Experience and/or interest in deep learning, LLMs, and Natural Language Processing.

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 $147,400 and $272,100, 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.