Data Scientist, Retail Decision Automation

Apple • Sunnyvale, CA

2d

About The Position

Imagine what you could do here! The people here at Apple don’t just create
products — they build the kind of wonder that’s revolutionized entire
industries. It’s the diversity of those people and their ideas that inspires the
innovation that runs through everything we do, from amazing technology to
industry-leading environmental efforts. At Apple, inclusion is a shared
responsibility, and we work together to foster a culture where everyone belongs
and is inspired to do their best work. Here on the Apple Store Online team, we
are responsible for Apple’s largest store. Our main goal is to deliver a
magical, personal digital experience where customers can shop, buy and learn
everything Apple, wherever they are. Each customer should feel like they are our
only customer and our job is to set the bar for the experience they receive. To
run such an extraordinary store, it takes extraordinary people, and we are
looking for someone to help us do extraordinary things. As a data scientist, you
will provide data driven insights to AI powered and personalized experiences in
the Retail Online journey. You will develop models, evaluate product launches,
develop automated solutions to deliver timely alerts, find opportunities for
future development by applying the bleeding edge scientific methods. You will
partner with engineers, product, program and business leaders alongside other
teams to bring better experiences to drive meaningful customer impact.

Requirements

• Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
• Proficiency in data querying using SQL, Spark, or equivalent technologies
• Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
• Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
• Min 3 years experience working as a Data Scientist or equivalent

Nice To Haves

• PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
• Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
• Excellent product intuition, keen eye for design and customer pain point awareness
• Experience developing anomaly detection and causal inference models

Responsibilities

• Research and develop evaluation methods to improve quality of Retail online journey.
• Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
• Design and execute observational and experimental studies of causal inference
• Work with large, complex data sets.
• Develop automated solutions to deliver insights and alerts
• Drive feature evaluation and product roadmap with insights

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees