Data Scientist II developing machine learning models for payment processes and fraud detection at Disney Streaming. Collaborating with teams to enhance customer experience and drive business impact.
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.
Analyze subscriber behavior, payment flows, and fraud patterns to generate actionable insights.
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.
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial and/or other benefits, dependent on the level and position offered.
Data Scientist/Senior Data Scientist overseeing evaluation of quantitative risk management practices at Federal Reserve Bank. Engaging in reviews, analyses, and internal consulting within the organization.
Lead Data Scientist at Federal Reserve Bank of Atlanta. Conducting quantitative risk management analysis and participating in regulatory reviews of large BHCs.
Seeking a Data Scientist/Machine Learning Semi Senior to develop data - based solutions in Buenos Aires. Must have strong Python skills and experience in Machine Learning.
Data Scientist/Developer at SEB transforming complex financial data into predictive insights through data modeling and simulations. Strong Python and finance skills required in a hybrid work environment.
Senior Data Scientist leveraging computer vision and machine learning to support Quality Control at Walmart. Collaborating with engineering and business to deliver scalable data solutions.
Senior Data Scientist addressing complex ML and AI challenges at JLL. Collaborating in a hybrid environment with a focus on real estate technology in Tel Aviv.
Applied Data Scientist designing and implementing AI - driven pipelines for Binance's blockchain products. Collaborating on complex systems to enhance market understanding and trading intelligence.
Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.