Are you ready to make a significant impact at the intersection of data, regulation, and user safety within Apple? If you are passionate about leveraging complex data models to navigate regulatory challenges, support critical Trust & Safety programs, and provide compelling, data-driven insights, we would love for you to apply!

The Apple Services Data Science & Analytics organization drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy and adhering to regulatory policy. We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best ways to improve these services for our customers! Our team's culture is centered around rapid iteration with open feedback and healthy debate to curate the best outcomes. We encourage independent decision-making and taking calculated risks. Our team works as an analytical advisor with partners across product, design, engineering, marketing, editorial, legal, and business teams.

Description

As a Lead Trust & Safety Data Engineer on the Services Data Science & Analytics team, you will operate at the critical intersection of data science and legal analysis. You will work with massive internet-scale data across numerous product and customer touch-points, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive findings to drive informed decisions within legal and regulatory contexts. A great fit for this role can communicate and collaborate across many different teams, has an agile approach to solving challenging problems quickly, and stresses the details.

We are looking for you to collaborate with Legal, Regulatory, and Trust & Safety teams in a data advisory capacity.

This involves deeply understanding the cases and RFIs being assessed, determining what data is required, making recommendations on what data to include in responses, and then compiling the data for production accordingly.

Often you will closely partner with our data science & analytics peers on metrics, source data, and expanding the automation around legal and regulatory initiatives.

Your work may involve analyzing patterns of policy violations, user behavior risks, content moderation effectiveness, or fraud prevention data to inform strategic decisions.

Extensive collaboration with Legal, Compliance, Competition, Law Enforcement, Trust & Safety, as well as Product, Business, Engineering, and Marketing teams is vital to our success.

In this role, you will iterate with these teams on key cases, influence how our Services data is structured and shared, and be responsible for the accuracy and quality of the advisory and productions.

Over time, you will establish and socialize a comprehensive roadmap to communicate and manage legal stakeholder expectations while enabling org-wide transparency on progress.

This role will require extensive experience taking complex, multifaceted legal and regulatory projects from initial inquiry, through data model design and pipeline development, to data production.

Ideally, you have a curious mindset with the ability to condense complex concepts and analysis into clear and concise takeaways that drive action.

We're looking for someone known for effectively bridging analytics and business/legal teams, with an ability to masterfully speak the language of both.

Preferred Qualifications

Extensive experience applying data analytics and business intelligence within a legal or compliance department, with a focus on areas such as regulatory reporting, competition analysis, intellectual property, privacy, consumer protection, litigation support, trust & safety operations, and policy enforcement.

Experience in a fast-paced technology company, digital subscription business, or large-scale e-commerce platform, navigating complex data ecosystems and evolving regulatory landscapes.

Advanced proficiency with Python, R, or similar languages, and experience with complex data manipulation, statistical analysis, and machine learning applications in a legal context.

MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics or a related field.

Minimum Qualifications

5-10+ years of experience in data engineering or analytics engineering role, with expertise in creating production data pipelines for internet-scale data.

Strong proficiency with SQL, Spark, & Python and extensive experience querying, manipulating, and analyzing internet-scale data structures and very large datasets specifically to address complex business or product challenges.

Demonstrated experience with data engineering tools and concepts, data pipeline development, data model design, and aggregation strategies.

Exceptional written and verbal communication, presentation, and advisory skills, with the proven ability to translate complex data insights and intricate concepts for diverse audiences, including executive leadership as well as technical teams.

Strong time management skills with the ability to balance multiple projects with tight deadlines and executive visibility.

BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant .

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 $212,000 and $318,400, 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.

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