Data Scientist, Maps Evaluation

Apple Maps is changing, and data is in the driver's seat. Our mission is to build the best map in the world. We work in a fast-paced data-focused environment where Data Scientists are given runway to own big projects and drive impact across the Maps organization.

Description

We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Apple Maps search services, features, monetization initiatives and Apple Business. You'll partner closely with Product, Design, Engineering, and Marketing to define success metrics, evaluate product performance, understand user behavior, and business opportunities, and drive data-informed decisions. Our day-to-day work crosses many functional areas, including experiment design, AB testing, funnel analysis, other exploratory data analysis, AI/ML modeling, data mining, and more.

Responsibilities:

Build data products (feature datasets, analyses, models, etc.) and scalable tools (typically in Python or Scala) to drive hypothesis generation and support collaborative decision-making with our partner teams in Product, Design, Engineering, and Marketing

Design, create and validate actionable metrics, at both the component level and to measure overall user engagement and experience

Support monetization strategy by analyzing user behavior, product performance, and business opportunities

Design effective analyses or experiments for evaluating complex data, machine learning-based systems, and measure how monetization efforts affect user engagement and satisfaction

Develop models and analyses to mine large volume of data, extract insights, and recommend opportunities for product improvements

Automate analyses and pipelines via SQL and Python/Scala-based ETL frameworks

Communicate insights to partner teams to influence product direction with data

Use data intuition to translate hard product goals and business problems into solvable data science problems

Preferred Qualifications

Prior industry experience with AB testing and causal inference

Experience in information retrieval

Prior proven industry experience with large data sets using technologies like Hadoop and Spark

Experience writing pipelines for automating analytics tasks at scale

Experience mentoring junior data scientists and leading projects of varying sizes and scopes

Experience with monetization analytics

Minimum Qualifications

MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain

3+ years experience with data analysis at web scale or relevant work experience

Proficient in Python

Proficient in at least one database language (e.g., SQL, Snowflake)

Capable of translating business questions and needs into technical requirements, and using statistical techniques to find solutions

Solid communication and presentation skills

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 $141,800 and $258,600, 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.