Data Scientist IV
Job in
Los Angeles, Los Angeles County, California, 90079, USA
Listed on 2026-01-13
Listing for:
LanceSoft Inc
Full Time
position Listed on 2026-01-13
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, AI Engineer, Data Science Manager
Job Description & How to Apply Below
Pay rate range: $90 - $95/hr on W2 all inc.
Contract Duration: 11-months
Possibility For Extension / Conversion: Possible
The Senior Data Scientist will play a critical role in shaping the Studio Economics 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 across global studios.
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 projects 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.
None required.
Interview Process / Next Steps- Sourcing in CA – Burbank
- Hybrid role – 3 days on‑site.
- Four options of medical Insurance
- Dental and Vision Insurance
- 401k Contributions
- Critical Illness Insurance
- Voluntary Permanent Life…
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