Data Scientist II: ML for Payments, Fraud & LTV

Posted yesterday

comunidade metodistaSanta Monica (CA)

Data Scientists Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers

SENIORITY

Mid

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About the role

Disney Streaming's Subscriber & Commerce Data Science team builds ML models to optimize payments, detect fraud, and forecast customer lifetime value across Disney+, Hulu, and ESPN+. You will design, build and deploy models to enhance customer experience and drive measurable business impact. In this role you’ll work with Product, Engineering, Analytics and Finance to deliver models in production, monitor performance, and run A/B tests to quantify impact.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.