Apple

AIML - Sr Data Scientist, Evaluation

Apple$130K — $180K *
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5 years of relevant work experience in data science or related fields.
  • Advanced degree in a quantitative discipline (e.g., Statistics, Computer Science, Economics).
  • Strong proficiency in machine learning and statistical data analysis techniques.
  • Solid programming skills with SQL or Spark, and experience with a scripting language like Python or R.
  • Experience in designing and analyzing experiments, particularly relating to data quality and evaluations.
  • Exceptional communication skills to convey complex topics clearly across teams.
  • Demonstrated ability to work collaboratively in cross-functional teams.

Responsibilities

  • Partner with engineering teams to enhance search quality and feature development.
  • Research and develop evaluation methods for user-facing products like Siri.
  • Translate methodological developments into practical solutions for product engineering.
  • Analyze large data sets to solve complex, analytic problems using advanced methods.
  • Conduct comprehensive data analysis including collection, quality control, and processing.
  • Prototype analysis pipelines iteratively to generate scalable insights.
  • Advocate for improvements in data structures and metrics to support product development.

Benefits

  • Collaborative work environment that fosters innovation.
  • Opportunity to work on products impacting millions globally.
  • Access to advanced tools and technologies in data analysis.
  • Professional development and learning opportunities.
  • Diverse and inclusive company culture promoting teamwork.
Full Job Description
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. \n\nYou will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.

Research and develop evaluation methods to improve the quality of Apple user facing products, such as Siri and Apple Intelligence. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed, including prompt engineering and building LLMs as judges. Conduct analysis that includes data collection and quality control, requirements specification, processing and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development. Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations. You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation.

5 years of relevant work experience. Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field. Proficiency in data science, machine learning, and analytics, including statistical data analysis. Experience crafting, conducting, analyzing, and interpreting experiments and investigations, especially on data quality, evaluation and risk assessment. 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). Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. Strong communication skills and the ability to naturally explain difficult technical topics (especially causal topics) to everyone from data scientists to engineers to business partners.

Proven ability to collaborate effectively across functions and work well within a team. Capable of driving projects of varying sizes and scopes - some will take months and some weeks - and you will need to know when to dive deep. Worked with methods that address accuracy and variability in human annotation data. Ability to learn new technology and skills to accommodate changing working requirements.

About Apple

Apple is a corporation that designs, manufactures, and markets mobile communication and media devices, personal computers, portable digital music players, and sells a variety of related software, services, peripherals, networking solutions, and third-party digital content and applications. Apple provides many products and services, including iPhone; iPad; iPod; Mac; Apple TV; a portfolio of consumer and professional software applications; the iOS and OS X operating systems; iCloud; and accessories, service, and support offerings. It sells its products worldwide through its retail stores, online stores, direct sales force and third-party cellular network carriers, wholesalers, retailers, and value-added resellers to the consumer and also sells third-party iPhone, iPad, Mac and iPod compatible products, including application software and accessories through its online and retail stores. Introduced in 1984, the Macintosh was the first widely sold personal computer with a graphical user interface (GUI). That feature and others such as an improved floppy drive design and a low-cost hard drive that made data retrieval faster helped Apple cultivate a reputation for innovation. Apple was named as the most admired company in the United States in 2008 and in the world from 2008 to 2012 by the Fortune magazine. The company was founded by Steven Paul Jobs, Steve Wozniak, and Ronald Gerald Wayne on April 1, 1976, and is headquartered in Cupertino, California.

Apple Careers

Join Apple, a place where extraordinary people gather to do their best work. Our ever-expanding global team is at the forefront of innovation and leadership in the tech industry. At Apple, we're not just building products—we're crafting the kind of wonder that revolutionizes entire industries. It's the diversity of our people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Work You’ll Do Embark on a journey with Apple’s market-leading team to help some of the world’s most influential companies navigate their path to digital mastery with cutting-edge technology and services. Transform industries and touch lives with your unique ideas at Apple. Here, you’ll lead through a unique position at the intersection of technology, creativity, and robust industry expertise. Collaborate with a global team of professionals who are at the top of their game in technology and design. Apple isn’t just a company, it’s a community of innovators and passionate thinkers. Introducing the Apple Innovation and Leadership Initiative We are building a market-leading team to drive our efforts in delivering groundbreaking solutions and services. At Apple, job opportunities are abundant, offering you the chance to explore diverse roles from engineering to marketing, all designed to empower your career growth. Do Innovative Work Join the largest group of creative and technical experts in the world—professionals dedicated to redefining what’s possible through technology and innovation. Deliver targeted solutions through a depth and breadth of expertise that’s unmatched, driving forward our commitment to excellence and leadership in every project we undertake. Be Part of a Great Team Engage in a wide range of projects utilizing Apple’s technology and resources. Harness the unparalleled capabilities, global scale, and joint solution development that only Apple can offer. Future-Proof Your Career Advance your career with limitless opportunities at Apple. Go as far as your ambition takes you with unmatched training, development, and certification support. Explore Discover how Apple is leading the way in tech innovation: [With iOS] Businesses can streamline operations and enhance customer interactions... READ MORE Smart home technology integration that sets the standard for convenience and security... READ MORE The Apple Experience Our combined service capabilities, global scale, and joint solution development help clients overcome challenges and lead transformation in their industries. Clients worldwide look to Apple for new strategies and solutions that drive growth and innovation in the digital era. Stay Connected Join Our Team Search open positions that match your skills and interests. We look for passionate, curious, creative, and solution-driven team players. Whether you’re seeking a professional role, an internship, or a leadership position, Apple offers a variety of employment opportunities. SEARCH APPLE JOBS Keep Up to Date Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. READ CAREERS BLOG Job Alert Emails Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. See what exciting and rewarding opportunities await at Apple, a company committed to diversity, innovation, and leadership. Explore job opportunities, employment benefits, and the culture of growth and innovation at Apple. Prepare your resume, hone your interview skills, and ready yourself for a career at one of the most prestigious companies in the world. Join us in pushing the boundaries of what is possible.
Learn more about Apple
Size
154,000 employees
Market Cap
$2,074.3 billion
Industry
Net Income
$63.9 billion
Founded
1976
5 Year Trend
+11.5%
Revenue
$294.1 billion
NASDAQ

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