AIML - Data Scientist, Data and ML Innovation

Apple; Seattle (WA); On-site; USD 135,000 - 251,000; Full time

Job summary

An established industry player is seeking a passionate Data Scientist to drive product impact through innovative machine learning solutions. In this role, you will leverage your expertise in data science and analytics to enhance the quality of user-facing products, such as Siri and Search. Collaborating closely with engineering teams, you will develop evaluation methods and build scalable analysis pipelines, ensuring data-driven insights guide product development. This is a fantastic opportunity to contribute to cutting-edge technologies that enrich the lives of millions globally, while enjoying a comprehensive benefits package and growth opportunities within a dynamic organization.

Benefits

Comprehensive Medical and Dental Coverage

Retirement Benefits

Employee Stock Purchase Plan

Tuition Reimbursement

Discounted Products and Free Services

Discretionary Bonuses

Relocation Assistance

Qualifications

• Proficiency in data science, machine learning, and analytics.
• Strong programming skills in Python, SQL, or Spark.

Responsibilities

• Research and develop evaluation methods to improve product quality.
• Partner with engineering teams to enhance search experiences.

Skills

Data Science

Machine Learning

Statistical Data Analysis

Python Programming

SQL

Spark

Critical Thinking

Problem-Solving

Collaboration

Communication Skills

Education

Relevant Work Experience

Internships

Tools

Data Processing Tools

Data Quality Evaluation Pipelines

Job description

AIML - Data Scientist, Data and ML Innovation

Seattle, Washington, United States Machine Learning and AI

Summary

Posted: Jan 29, 2025

Weekly Hours: 40

Role Number: 200588408

Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the Data and Machine Learning Innovation organization is to advance machine learning across Apple to enrich lives. Within this organization the mission of the Search Analytics team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with Search engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, and tv, across dozens of languages.

Description

Research and develop evaluation methods to improve the quality of Apple user-facing products, such as Siri and Search. 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. 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.

Minimum Qualifications

1. Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations. Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
2. Proficiency in critical thinking, problem-solving, and collaboration with cross-functional teams to address business needs. Strong communication skills for articulating and translating business questions into actionable insights using statistical techniques and available data.
3. Strong programming skills in Python for data processing, with expertise in SQL or Spark. Proficient in data wrangling, prototyping data quality and evaluation pipelines for new methodology development, and building scalable solutions in collaboration with engineering teams to solve complex data challenges.

Preferred Qualifications

1. Experience in generative model and application development, with a focus on data, evaluation, and automation, involving the adoption or development of cutting-edge methodologies and rigorous statistical analysis.
2. Relevant work experience including internships.

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 $135,400 and $250,600, 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.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.