SummaryPosted: Weekly Hours: 40 Role Number:200549828We 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 advanced analysis and building features, powered by machine learning, for AppStore, Apple Music, Apple Podcasts, iTunes Store and related products.

Key QualificationsProficiency in supervised and unsupervised machine learning models (eg GLMs, Dimensionality Reduction)Proficiency in statistics (frequentist or Bayesian)Software development experience using Python, Scala, or other, high-level programming languageDemonstrable experience of using novel analysis or methodologies to make impactful contributions, to either a product or academic-researchTrack record of building data science solutionsSome experience in data processing/modelling using SparkFamiliarity with distributed data platformsWorking knowledge of data science production process (unit tests, data pipelines, etc.)Enthusiastic, customer-obsessed team-player who enjoys collaborating in a collegiate environment to build delightful productsInitiative and ability to manage projects to completionManaging globally-distributed collaborators through clear and concise communicationCommunicating technical concepts to non-technical audiencesDescriptionThe 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 advanced 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 collaborators to deliver delightful 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 advanced analytical products. Education & ExperienceMS/PhD in Statistics, Computer Science, or other quantitative disciplines.

Equivalent backgrounds with relevant experience will also be considered. Additional RequirementsWe 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.Pay & BenefitsAt 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 $138,900.00 and $256,500.00, 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 take affirmative action to ensure 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