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Title: Data Scientist IV || Full-time
Work Location: Burbank CA - 3 days on-site.
Job Responsibilities / Typical Day In The Role
Title: Data Scientist IV || Full-time
Work Location: Burbank CA - 3 days on-site.
Job Responsibilities / Typical Day In The Role
- Develops and maintains the data science vision & roadmap for our studio business units, primarily Theatrical and Content Sales.
- Lead complex analytics project and develop advanced AI/ML models
- Lead and grow a team of Data Scientists, establishing best practices in experimentation, causal inference, and MLOps (Machine Learning Operations).
- Translate technical insights into strategic business actions for stakeholders
- Drive data-driven business decision-making for revenue optimization.
- Drive experimentation at scale (A/B, multivariate, adaptive methods like multi armed bandits) and codify guardrails for metrics, lift, and governance across product surfaces.
- Build production grade models (predictive, NLP, CV, generative) and pipelines for recommendations, classification, content valuation, and forecasting; enforce model monitoring and responsible AI.
- Develop predictive models for Sales Planning and forecasting
- Partner with Finance & Content Sales to operationalize models into decision workflows; deliver dashboards and executive-ready narratives.
- Design and scale greenlight frameworks: integrate sales demand signals, competitive intelligence, and financial risk metrics.
- Operationalize data: define high quality feature stores, curate canonical datasets (viewing, engagement, metadata, rights), and ensure privacy, lineage, and compliance.
- Ensure governance and compliance: data lineage, privacy, and responsible AI in financial modeling.
- Communicate impact to executives with clear narratives, dashboards, and decision memos; translate complex analyses for non-technical audiences.
- Experience designing, implementing, and validating sophisticated ML algorithms and models.
- 10 years of experience.
- Ability to translate complex technical requirements into clear non-technical updates for executives.
- 8 years of experience.
- Proven experience with analyzing complex datasets to uncover trends and generate recommendations – Strategic Insights
- 10 years of experience.
- Background in content valuation, ad decisioning/forecasting, or growth analytics for media products.
- Experience with adaptive experimentation (bandits), generative AI, multimodal models, or semantic search in media workflows.
- Familiarity with media supply chain (metadata, rights, distribution) and privacy/identity (audience modeling, identity graphs).
- Expertise in financial modeling, forecasting, and optimization for content economics.
- Proven ability to align stakeholders across Product, Engineering, Marketing, Content, Licensing and Sales Planning;
- Exceptional communication skills for executive stakeholders.
- Strong skills in Python/R, SQL, and advanced ML (recommendation systems, time-series, Bayesian methods, simulation).
- Experience building MLOps (deployment, monitoring, governance) and working with cloud data stacks (BigQuery/Snowflake, AWS/Google Cloud Platform).
- Experience with AWS cloud and Analytics (BI) tools (Tableau, Power BI).
- None required.
- 1st round with HM (30-min screening)
- 2nd round with Peer Data Scientist