Senior Data Scientist/Engineer (Streaming/Digital Media)
Role summary
This role is for a Senior Data Scientist/Engineer focused on streaming and digital media analytics. The position requires 7+ years of experience in developing predictive models, experimentation frameworks, and advanced analytics for DTC or digital platforms. Key responsibilities include owning end-to-end model development, operationalizing models with data engineering and product teams, conducting deep-dive analyses to inform strategy, and translating complex results for leadership. Proficiency in Python, SQL, cloud environments (AWS, GCP, Databricks), and MLOps practices is essential. A strong understanding of the TV and streaming landscape is also required.
Senior Data Scientist/Engineer (Streaming/Digital Media)
Location - On Site Daily in Los Angeles
Long Term Contract
Excellent Communication
Serve as 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