Job Specifications
Job Title: Data Scientist
Location: California, Burbank (Hybrid role – 3 days on-site)
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 (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.
Must Have Skills / Requirements:
1) Experience designing, implementing, and validating sophisticated ML algorithms and models.
a. 10+ years of experience.
2) Ability to translate complex technical requirements into clear non-technical updates for executives.
a. 8+ years of experience.
3) Proven experience with analyzing complex datasets to uncover trends and generate recommendations – Strategic Insights
a. 10+ years of experience.
Technology Requirements:
1) Strong skills in Python/R, SQL, and advanced ML (recommendation systems, time-series, Bayesian methods, simulation).
2) Experience building MLOps (deployment, monitoring, governance) and working with cloud data stacks (BigQuery/Snowflake, AWS/GCP).
3) Experience with AWS cloud and Analytics (BI) tools (Tableau, Power BI).
About the Company
Unlock the full potential of your data with Anblicks, a team of strategic data modernization experts. Our tailored services cover seamless data migration, robust re-architecture, and transformative solutions.
The "AIM" Framework from Anblicks, encompassing Advise, Implement, and Manage, presents a dynamic methodology that simplifies data management. This approach effectively tailors, launches, and maintains data strategies.
Anblicks guides its clients in customizing their data foundation, deploying an insight-driven plat...
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