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Senior Data Scientist

Job in Burbank, Los Angeles County, California, 91520, USA
Listing for: Dice
Full Time position
Listed on 2026-01-16
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst
Job Description & How to Apply Below

A Senior Data Scientist job description 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.

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
  • 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.
Must Have Skills / Requirements
  • 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.
  • Technology 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 (Big Query/Snowflake, AWS/Google Cloud Platform).
  • Experience with AWS cloud and Analytics (BI) tools (Tableau, Power BI).
  • #J-18808-Ljbffr
    Position Requirements
    10+ Years work experience
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