AIML - Senior Data Scientist, Machine Learning Platform and Infrastructure

Key Skills

Aartificial intelligence, Continuous Integration & Continuous Delivery - CI/CD, Data science techniques, Data Visualization, Machine learning techniques, Python Programming, R Programming, Scala Programming, Spark-SQL, SQL, Superset, Tableau

Job Description

The AI/ML Integration and Delivery team is looking for a experiencedData Scientist. Our organization specializes in CI/CD and the delivery of AI models to servers and customer devices alike. Our team’s mission is to make the engineering workflow as transparent as possible for AIML engineers by providing metrics and engineering UIs. This requires us to produce and aggregate data from many sources, both emanating from our engineering systems and our customers' devices, process it, report it and guarantee its quality and reliability. Something that sets this role apart from typical product DS roles is that it requires a deep interest in complex engineering system and a passion about measuring their efficiency and reliability with data (from our own pipelines all the way to customers' devices).

We are looking for a strong data scientist to help us fulfill this mission by collaborating with a global team of data scientists and software engineers.

Description

In this role, you will be expected to be the face of the metrics team for our external stakeholders owning KPIs end-to-end from definitions, instrumentation design to reporting. You will be expected to build a deep understanding of our overall engineering experience and CI/CD practices, and our data landscape, and bring everything together. You will be the expert of our org’s KPIs and work proactively to improve the usability. You will collaborate closely with Data Scientists, Release engineers, UI Engineers, Backend Engineers and Device Engineers, as well as with senior leadership.

The ideal candidate is a highly motivated, collaborative, and proactive individual who can communicate effectively and can adapt and learn quickly.

Minimum Qualifications

• Expert at translating ambiguous business problems into technical solutions by working with business partners to design, develop and deploy data science solutions that drive key product decisions
• Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).
• Self-starter, comfortable with ambiguity, and enjoy working in a fast-paced dynamic environment
• Experienced in building and maintaining large-scale ETL/ELT pipelines that are optimized for performance and can handle data from various sources, structured or unstructured.
• Proven expertise in developing data visualizations & reporting. Ex: Tableau, Superset, Qlickview, etc
• Proficiency in data science, machine learning and statistical data analysis

Preferred Qualifications

• 5 years of relevant work experience in Data Science / Analytics
• Degree in computer science, economics, business analytics, data science, statistics or related field
• A strong sense of data ownership, being willing to guarantee data quality even if it originates from sources you don’t directly control
• Outstanding ability to communicate, simplify problems, and drive towards a solution
• Ability to thrive in a complex and constantly changing environment.
• Outstanding ability for cross-functional collaboration and driving large-scale projects
• Ability to work on both internal data emanating from engineering systems, and very large-scale data emanating from devices
• Capacity to translate business requirements into technical solutions.
• Experienced in writing and maintaining high-quality code using standard methodologies such as code reviews, unit testing, and continuous integration.
• Good time management skills and can incrementally deliver to tight schedules.
• (plus but not required) Understanding of ML Processes, Engineering systems, Developer Operations, and Software CI/CD

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 $175,800 and $312,200, 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’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.