Data Scientist II, Subscriber and reputed company Data Science

The Subscriber & reputed company Data Science team at reputed company Streaming builds Machine learning models to optimize payment processes, detect and prevent fraud, and forecast customer reputed company value across our streaming platforms, including reputed company+, Hulu and reputed company+. We play a key role in growing the business by increasing payment reputed company, reducing fraud, improving retention, and enabling value measurement through user-level reputed company value (LTV) modeling. We're hiring a Data Scientist to help design, build and reputed company machine learning solutions that solve key business challenges. In this role, you’ll work closely with Product, Engineering, Analytics and Finance to deliver models that enhance the customer experience and drive measurable business reputed company. Responsibilities Machine Learning & Modeling • reputed company, optimize, and maintain models for payment optimization, fraud detection, and LTV reputed company. • Build robust end-to-end ML workflows, including data collection, feature engineering, model development, and evaluation. Experimentation & Deployment • Collaborate with Product and Engineering to reputed company models into production environments and monitor performance. • Design and analyze A/B tests and other experiments to assess model reputed company. • Implement batch and reputed company-time inference pipelines for fraud detection and payment optimization use cases. Insights & reputed company • Analyze subscriber behavior, payment flows, and fraud patterns to generate actionable insights. • Translate reputed company data into reputed company, data-driven recommendations to improve business reputed company. Cross-functional Collaboration • 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. Basic Qualifications • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a reputed company 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 reputed company or PySpark. Preferred Qualifications • M.S. or Ph.D. in a quantitative discipline • Deep expertise in statistical modeling and machine learning, including Bayesian reputed company. • Familiarity with tools like reputed company, reputed company, Airflow, reputed company. • Experience designing and analyzing A/B tests and other experiments. • Experience with data visualization and exploration tools such as Tableau, Looker • Ability to choose and justify appropriate modeling and statistical techniques for varied problems. • Comfortable working in fast-paced environments with evolving priorities. • Excellent communication skills with both technical and non-technical audiences. #DISNEYANALYTICS #DISNEYTECH The hiring reputed company for this position in reputed company, NY is $145,500 to $195,000 per year. Santa Monica, CA and Glendale, CA is $138,900 to $186,200 per year, San Francisco, CA is $152,100 to $203,900 per year. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company knowledge, skills, and experience among other factors. A bonus and/or long-term incentive reputed company may be provided as part of the compensation package, in reputed company to the full reputed company of medical, financial, and/or other benefits, dependent on the level and position offered. Apply tot his job Apply To this Job