Data Scientist

Note: "Looking for W2 candidates who are currently based in Burbank, CA" Summary Seeking a hands-on data scientist to fill the Manager of Data Science position within our Sales organization's Data Science team. The Data Science team works very closely with Sales and Marketing, and in this position you will maintain and extend existing statistical and machine-learning work that informs how we window, price, and forecast content — including title-level release windowing, price optimization, and demand/revenue forecasting. Working under the direction of the VP of Data Science, you will pick up in-flight models and dashboards and keep them running and accurate. You should be comfortable in a fast-moving environment and able to balance scheduled deliverables with ad-hoc analytical requests. Responsibilities Data Analysis & Modeling Maintain, validate, and extend existing forecasting, pricing, and windowing models built in Python (pandas, scikit-learn, statsmodels) and SQL against Snowflake. Write clean, reproducible, version-controlled code (Git). Automate recurring data extraction and preparation pipelines to reduce manual effort. Assess model quality with appropriate validation (holdout/backtesting) and error metrics (e.g., MAPE, RMSE, bias), and flag when a model needs retraining or rework. Turn analysis into clear, decision-ready storylines — visual and written — for non-technical audiences. Applying AI & GenAI in the Workflow Use AI-assisted development tools (e.g., Cursor, GitHub Copilot) to accelerate coding, refactoring, and debugging while keeping a human-in-the-loop review of all output. Apply large language models (LLMs) to practical, day-to-day tasks: summarizing datasets and results, drafting documentation, generating and explaining SQL/Python, and accelerating exploratory analysis. Critically evaluate AI output for correctness, and follow enterprise data-privacy, security, and approved-tool guidelines when using AI on WBD data. Visualization & Application Development Build and maintain Tableau dashboards that monitor content, customer, and revenue trends for Sales, Marketing, and other business stakeholders. Develop self-serve interactive tools (Streamlit and/or Tableau) so partner teams can explore results without analyst support. Create views of model diagnostics and archived results so the team can track model performance over time. Collaboration & Mindset Partner day-to-day with Sales and Marketing to understand their questions and deliver clear, useful analysis. Work under the direction of the Director and VP of Data Science, translating their priorities into delivered analyses. Pivot quickly between planned work and urgent ad-hoc requests without losing rigor. A strong communicator and eager learner — open to coaching and to actively growing and strengthening communication skills over the engagement. Technology requirements: 2+ years of professional experience in data science or data analytics. 2+ years hands-on with Python and SQL for data manipulation, analysis, and modeling. Practical experience with core ML/statistics libraries (e.g., scikit-learn, statsmodels, pandas) and standard model-validation techniques. Experience querying a cloud data warehouse (Snowflake preferred). Basic working knowledge of Tableau — the team relies on it heavily to deliver insights to Sales and Marketing. Comfort using and sound judgment about AI-assisted coding tools and LLMs in a professional setting. Version control with Git and an ability to produce reproducible work. Good written and verbal communication skills, with an openness to growing and strengthening them, and comfort explaining technical work to non-technical Sales and Marketing partners. Degree or certifications required: Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, Economics, or a related quantitative field. Education Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, Economics, or a related quantitative field.