Data Scientist, Email Marketing

Apple

Cupertino, CA

Full Time

Mid Level

147k-272k

16 days ago

Job Description

About the Role

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly.

Key Responsibilities

Build data/model pipelines to automate recurring data pull and modeling processes.
Use machine learning techniques to build propensity models for email targeting.
Collaborate with marketers to develop hypotheses and conduct experiments to optimize marketing communications.
Track and measure performance of email campaigns to quantify business impact.
Communicate findings clearly to technical and non-technical audiences.
Leverage Tableau and Keynote to visualize insights and deliver results in business presentations and dashboards.

Requirements

Hands-on professional experience building propensity, uplift, and other machine learning models.
Relevant background in Analytics and Data Science.
Outstanding verbal and written communication skills.
Strong technical skills in SQL and Python.
Experience with Tableau to deliver actionable insights.

Nice to Have

Prior professional experience in financial products and services, marketing, advertising, or customer analytics.
Experience with GenAI to scale analyses and shorten lead times.
Fluency with SQL queries in large and complex fragmented datasets and relational databases.
Expertise in causal inference modeling and advanced statistical/econometrics models, including regression and time series modeling.

Qualifications

Degree in Analytics, Data Science, Marketing or similar.

Benefits & Perks

Base pay range between $147,400 and $272,100, depending on skills, qualifications, experience, and location.
Opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
Discretionary restricted stock unit awards and discounted Apple stock purchase options.
Comprehensive medical and dental coverage.
Retirement benefits.
Range of discounted products and free services.
Reimbursement for educational expenses related to career advancement.
Potential eligibility for discretionary bonuses, commissions, and relocation assistance.

Working at Apple

Our culture is about getting things done iteratively and rapidly, with open feedback and discussion. We believe analytics is a team sport, but we strive for independent decision-making and taking smart risks. Apple is an equal opportunity employer that is committed to inclusion and diversity, promoting equal opportunity for all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

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