Senior Data Scientist
Zscaler
PySparkPythonPyTorchSQLTensorflow
Data Scientist II
The Walt Disney Company
full-time
Posted on:
Location Type: Hybrid
Location: Santa Monica • California, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $114,900 - $154,100 per year
Job Level
Mid-LevelSenior
Tech Stack
AirflowNumpyPandasPySparkPythonScikit-LearnSparkSQLTableau
About the role
- 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 fraud detection and payment optimization use cases
- Analyze subscriber behavior, payment flows, and fraud patterns to generate actionable insights
- Translate complex data into clear, data-driven recommendations to improve business outcomes
- Partner with stakeholders to translate business needs into machine learning problems
- Collaborate with Engineering to improve data pipelines, experimentation frameworks, and model monitoring
- Communicate insights effectively to technical and non-technical stakeholders.
Requirements
- 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 (e.g. Pandas, NumPy, Scikit-learn, LightGBM)
- Experience with distributed computing tools such as Spark or PySpark
- Deep expertise in statistical modeling and machine learning, including Bayesian methods
- Familiarity with tools like Databricks, Snowflake, Airflow, GitHub
- Experience designing and analyzing A/B tests and other experiments
- Experience with data visualization and exploration tools such as Tableau, Looker
- Excellent communication skills with both technical and non-technical audiences.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package
- Full range of medical, financial and/or other benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical modelingA/B testingdata collectionfeature engineeringmodel developmentmodel evaluationbatch inferencereal-time inferencedata visualization
Soft skills
communicationcollaborationproblem-solvinganalytical thinkingstakeholder engagement
