Data Scientist II: ML for Payments, Fraud & LTV

Comunidade Metodista; Santa Monica (CA); On-site; USD 115,000 - 154,000; Full time

Job summary

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.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience developing and deploying machine learning models in production.
• Proficiency in SQL, Python (Pandas, NumPy, Scikit-learn, LightGBM); experience with Spark or PySpark.

Responsibilities

• Develop, optimize, and maintain models for payment optimization, fraud detection, and LTV prediction.
• Build robust end-to-end ML workflows, including data collection, feature engineering, model development, and evaluation.
• Collaborate with Product and Engineering to deploy models into production environments and monitor performance.
• Design and analyze A/B tests and other experiments to assess model impact.
• Implement batch and real-time inference pipelines for applicable use cases.
• Analyze subscriber behavior, payment flows, and fraud patterns to generate actionable insights.
• Translate complex data into data-driven recommendations to improve business outcomes.
• Partner with stakeholders to translate business needs into machine learning problems.

Skills

SQL

Python

Pandas

NumPy

Scikit-learn

LightGBM

Spark/PySpark

Education

Bachelor's degree in Data Science

Bachelor's degree in Computer Science

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Tools

Databricks

Snowflake

Airflow

GitHub

Tableau

Looker

Job description

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.