{"title": "Software Engineer - Data Science, Apple Services Engineering", "summary": "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 advanced analysis and building features, powered by machine learning, for AppStore, Apple Music, Apple Podcasts, iTunes Store and related products.", "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\u2019s charter is to apply advanced analytics to improve our portfolio of applications by understanding our customer\u2019s behavior 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\u2019s 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 customize the algorithms where required and the ability to collaboratively develop and deploy these advanced analytical products.", "key_qualifications": "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, Demonstrable 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, Some experience in data processing / modeling using Spark, Familiarity with distributed data platforms, Working 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 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", "preferred_qualifications": "", "education_experience": "MS/PhD in Statistics, Computer Science, or other quantitative disciplines. Equivalent backgrounds with relevant experience will also be considered.", "additional_requirements": "We acknowledge the novelty of the data scientist\u2019s 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_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 $143,100 and $264,200, 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\u2019s 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\u2019s Employee Stock Purchase Plan. You\u2019ll 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 \u2014 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.", "company": "apple"}