Aartificial intelligence, Apache Hadoop, Data science techniques, Machine learning techniques, PySpark, Python Programming, PyTorch, Scikit-learn, SciPy, Snowflake, SPARK Programming, SQL, XGBoost
Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Insights team is seeking a Senior Data Scientist to join in developing the next generation of analytical solutions in collaboration with Engineering, Product, Sales, Marketing, and Finance. In this role you will work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement solutions that are crucial to running and growing the ads marketplace. Responsibilities include turning the huge amounts of data generated by user searches, app content, and App Store context into business insights that improve the customer experience for the end-user as well as drive discovery and efficiency for app developers. This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.
Key Qualifications
Support Marketplace Product, Engineering, and the Executive Team with analyses to improve product performance, deepen customer insight and deliver business impact. Empower the product and algorithm engineering team with insights to advise and fulfill their strategic objectives and goals Quantify the impact of marketplace initiatives on advertiser impact, and business performance Design experiments that help define opportunities for pricing, matching, and prediction models leading to improved marketplace performance, and positive advertiser impact Supervise usage metrics and provide business-based explanations for large scale trends and patterns in advertiser lifecycle behavior Develop reusable models and data products working closely with Data Engineering team to ensure scalability of models and products in production Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and communicating results for customers
Education & Experience
Background in computer science, mathematics, or similar quantitative field with a minimum of 6 years professional experience. Graduate degrees in these fields a plus.
Additional Requirements
Pay & Benefits
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.
Headquartered in Cupertino, California, Apple Inc. is a multinational technology company that focuses on producing consumer electronics, software, and online services. It holds the distinction of being the world's largest technology company by revenue and the world's biggest company by market capitalization as of June 2022. Apple is the second-largest mobile phone manufacturer and the fourth-largest personal computer vendor by unit sales.