Senior Data Scientist

This is a Full Time Job

Sr Data Scientist (FAST, AVOD)

We are seeking a strategic and analytical Senior Data Scientist to own the advanced analytics and modeling to help shape the future of our DTC AVOD and FAST platforms- ultimately influencing the vision, launch, and growth of Sony Pictures Core. This role is a part of the broader ISA team but is dedicated and embedded in the day to day of the Sony Pictures Core AVOD/FAST business. The ideal candidate has a strong blend of technical expertise, business acumen, and leadership skills.

Key Responsibilities
• Build predictive models, map customer journeys, and deliver data products that help launch, scale, and optimize Sony's DTC streaming offering.
• Serve as thought leader developer of key DTC analytical models like customer lifetime value, attribution, churn, and AB testing
• Own end-to-end model development, from scoping ? exploration ? feature engineering ? model development ? validation ? deployment.
• Work closely with data engineering and product teams to operationalize models, ensuring scalability, reproducibility, and automated monitoring.
• Conduct deep-dive analyses to uncover insights that inform content strategy, product experience, and growth plans for the service.
• Translate complex modeling results into clear, compelling narratives for leadership and cross-functional teams.
• Work closely with product, marketing, and platform teams to identify opportunities for advanced analytics and modeling.
• Partner with Insights Strategy & Analytics dedicated Core team (BI, data engineering, and Strategic Analysts) and leadership to integrate modeling outputs into data products, dashboards, and business-embedded tools that support decision-making across the Sony Pictures Core ecosystem.

Qualifications
• 7+ years of experience in data science, ideally in streaming, digital media, consumer apps, or subscription businesses.
• Proven track record developing predictive models, experimentation frameworks, and advanced analytics for DTC or digital platforms.
• Expert proficiency in Python and SQL.
• Hands-on experience with experimentation platforms, uplift modeling, statistical testing, and causal inference.
• Strong skills in feature engineering, handling large-scale behavioral data, and building ML pipelines.
• Experience with cloud-based environments (AWS, GCP, Databricks) and MLOps practices
• Strong understanding of the TV and streaming landscape across linear, digital, AVOD, FAST, SVOD, and emerging platforms
• Strong communicator capable of presenting complex modeling outputs to non-technical audiences.
• Ability to operate in ambiguity and help stakeholders articulate questions, opportunities, and hypotheses.
• Passion for streaming, entertainment, consumer behavior, and data-driven storytelling.
• Highly collaborative, curious, and eager to partner across functions