399 jobs for "Data Scientist - Mid Level active TS/SCI"

Machine Learning Data Scientist - Apple Pay Marketing

At Apple - London

Posted on Oct 17

View job Apply on company site

Senior Manager, Data Science - Model Risk

At Capital One - McLean · Richmond

Posted on Nov 5

View job Apply on company site

Technology Leadership Program - Data Science and AI (Scientist) - PA

At Vanguard - Malvern

Posted on Oct 22

View job Apply on company site

Data Scientist, Apple Pay

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Data Scientist Lead- Python, ML & Gen AI

At JPMorgan Chase - Glasgow

Posted on Nov 3

View job Apply on company site

Director, Data Science: Medical, Special Investigations, and Programs (MSP) Claims Data Science team

At Liberty Mutual Insurance - Remote / Flexible

Posted on Oct 26

View job Apply on company site

Sr Applied Scientist

At Uber - San Francisco

Posted on Nov 4

View job Apply on company site

Data Science Intern - Summer 2027

At The Hartford - Hartford

Posted on Oct 23

View job Apply on company site

Data Scientist SME

At Leidos - St. Louis

Posted on Oct 16

View job Apply on company site

Senior Manager, Data Science - Model Risk

At Capital One - Richmond · McLean

Posted on Nov 5

View job Apply on company site

Sr Staff Engineer - Engineer

At Uber - Bengaluru

Posted on Nov 3

View job Apply on company site

Hearing Scientist

At Apple - Cupertino

Posted on Oct 15

View job Apply on company site

Data Scientist SME

At Leidos - Alexandria

Posted on Oct 16

View job Apply on company site

Director, Data Science: Medical, Special Investigations, and Programs (MSP) Claims Data Science team

At Liberty Mutual Insurance - Remote / Flexible

Posted on Oct 26

View job Apply on company site

Manager, Data Science - Emerging ML

At Capital One - McLean · San Jose

Posted on Nov 5

View job Apply on company site

Data Science Intern - Summer 2027

At The Hartford - Charlotte

Posted on Oct 21

View job Apply on company site

Data Scientist SME

At Leidos - Chantilly

Posted on Oct 16

View job Apply on company site

Software Engineer III- Data Science

At UKG - Noida

Posted on Oct 19

View job Apply on company site

Associate Director, Global Clinical Scientist

At CSL - King of Prussia

Posted on Oct 29

View job Apply on company site

Data Science Senior Associate

At DTCC - Hyderabad

Posted on Nov 2

View job Apply on company site

Apple

Machine Learning Data Scientist - Apple Pay Marketing

London, United KingdomPosted 22 days ago

Apply on company site View full job

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.

Description
We are looking for an experienced Data Scientist with the intellectual curiosity and strategic depth to reimagine how Apple Pay measures and optimizes its marketing. You don't wait to be handed a question - you identify the questions worth asking, conceptualize the right framework to answer them, and propose approaches that others haven't considered yet.

You know the marketing and media landscape deeply: how marketing mix models quantify cross-channel marketing effectiveness using statistical or econometrics models, how incrementality testing - from geo-based experiments to causal inference methods - isolates true causal lift, and how behavioral signals derived from clustering, propensity modeling, or sequence analysis can shape smarter audience strategies and campaign design. What sets you apart is the ability to architect the right measurement framework before a single model is built - identifying the causal assumptions that need to hold, the confounders that need to be controlled for, and the experimental conditions that will make results actionable.

AI/ML is the tool you bring to take those frameworks to a level of rigor, scale, and speed that wouldn't otherwise be possible - whether that means building production-grade causal inference pipelines, designing ML-powered experiment analysis, or applying LLMs to accelerate how insights are generated and communicated.","responsibilities":"Design and implement marketing mix models and causal inference pipelines that quantify marketing effectiveness and inform budget allocation decisions
Build and execute incrementality tests and translate results into concrete campaign recommendations
Apply ML techniques such as segmentation, propensity modeling, and behavioral pattern recognition to identify customer response patterns and inform audience strategy and experiment design
Partner with cross-functional teams to scope analytical problems, define success metrics, and deliver data-driven recommendations
Build and maintain production-grade ML models and workflows that support ongoing marketing measurement and optimization
Leverage Generative AI and LLM-based tools to accelerate insight generation, automate reporting workflows, and streamline day-to-day analytical tasks
Communicate model outputs and experiment results clearly to both technical and non-technical audiences through visualizations, narratives, and recommendations

Preferred Qualifications
Experience with paid media data across channels - paid digital, in-store media, social, and other performance marketing platforms
Experience with awareness and performance marketing measurement
Actively follows industry trends in marketing science and media measurement - aware of emerging methodologies and tools and brings those perspectives into the team
Experience applying Generative AI to marketing workflows - including budget optimization, automated creative analysis, or campaign performance reporting
Advanced degree (M.S. or Ph.D.) in Statistics, Machine Learning, Econometric, Marketing Science, or a related quantitative field
Strong written and verbal communication skills - able to tell compelling stories with data to both technical and non-technical audiences

Minimum Qualifications
Hands-on experience in marketing science - including building marketing mix models, causal inference, and incrementality measurement
Experience designing and executing marketing experiments
Proficiency in applying ML techniques to marketing and customer datasets
Strong proficiency in Python and data science libraries (pandas, NumPy, scikit-learn, statsmodels, or equivalent)
Strong command of SQL for querying and analyzing large-scale marketing and media datasets

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

View company profile