Summary

Posted: Feb 3, 2023

Weekly Hours: 35

Role Number:200460394

We invite outstanding data scientists to join the Product Data Science team, which is a part of Apple Media Products! Our team works across multiple services performing sophisticated analysis and building features, powered by machine learning, for App Store, Apple Music, Apple Podcasts, iTunes Store and related products.

Key Qualifications

REQUIRED TECHNICAL:
Proficiency in supervised and unsupervised machine learning models (e.g. GLMs, Dimensionality Reduction).
Proficiency in statistics (frequentist or Bayesian).
Software development experience using Python, Scala, or other, high-level programming language.
Proven experience of using novel analysis or methodologies to make impactful contributions, to either a product or academic-research.
Track record of building data science solutions.
PREFERRED TECHNICAL:
Some experience in data processing / modelling using Spark.
Familiarity with distributed data platforms.
Solid understanding of data science production process (unit tests, data pipelines, etc.).
SOFT SKILLS:
Enthusiastic, customer-focused team-player who enjoys collaborating in a collegiate environment to build fabulous products.
Initiative and ability to manage projects to completion.
Managing globally-distributed collaborators through clear and concise communication.
Communicating technical concepts to non-technical audiences.

Description

The Products Data Science team sits at the intersection of engineering and various businesses across services which together form Apple Media Products. The team’s charter is to apply sophisticated analytics to improve our portfolio of applications by understanding our customer’s behaviour and anticipating their needs. Our customers are both individuals who use our apps such as Apple Music and content-providing partners who create content for those apps. Our capabilities power some of the features in the various, customer-facing applications produced by Apple Media Products. In our day-to-day work, we collaborate with geographically distributed and multi-functional team members to deliver fabulous and innovative customer experiences. We work closely with data-engineers, program managers, product managers and business partners to understand and anticipate our customer’s needs, define and build features, and to measure and communicate results. We then work with web-scale datasets to do data exploration, feature engineering, and machine learning model training and deployment. We are also called upon to develop proprietary algorithms, to evaluate and measure model performance, and work with partners on model adoptions. Technically, this role requires a breadth of knowledge of statistical and machine learning methods. It also requires the creativity to invent and customise the algorithms where required and the ability to collaboratively develop and deploy these sophisticated analytical products.

Education & Experience

• MS/PhD in Statistics, Computer Science, or other quantitative disciplines. Equivalent backgrounds with proven experience will also be considered.

Additional Requirements

We acknowledge the novelty of the data scientist’s role in the analytical world and actively encourage the team to explore and learn. It is desirable to be self-motivated when it comes to keeping abreast of academic innovation in the field. As a part of the team, you will be encouraged to participate in both internal and external conferences, and workshops.
Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements. 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, colour, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

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