Senior Data Scientist

Senior Data Scientist Hybrid - 3 days / week onsite in Burbank CA 11 Months contract Summary Seeking a Senior Data Scientist to play a critical role in shaping strategy by leveraging advanced analytics, predictive modeling, and data-driven insights to optimize content valuation, financial planning, and operational efficiency. This position partners with various stakeholders to deliver scalable solutions that inform greenlight decisions, slate planning, and profitability modeling. A Senior Data Scientist job involves leading complex analytics projects, developing advanced AI/ML models (like generative AI), mentoring junior staff, and translating technical insights into strategic business actions for stakeholders. Responsibilities • Develops and maintains the data science vision and 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. • Define high quality feature stores, curate canonical datasets (viewing, engagement, metadata, rights), and ensure privacy, lineage, and compliance. • Ensure governance and compliance in 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. Requirements • 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/GCP) • Experience with AWS cloud and analytics (BI) tools (Tableau, Power BI) • 10+ years’ experience designing, implementing, and validating sophisticated ML algorithms and models • 8+ years’ experience translating complex technical requirements into clear non-technical updates for executives • 10+ years’ experience with analyzing complex datasets to uncover trends and generate recommendations (strategic insights) • 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 Preferred • 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) Education N/A The estimated pay range for this position is USD $80.00/hr - USD $89.50/hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process.