Senior Data Scientist/Engineer (Streaming/Digital Media)
Role summary
Seeking a Senior Data Scientist/Engineer with expertise in streaming and digital media to develop key DTC analytical models, including customer lifetime value, attribution, and churn. The role involves end-to-end model development, operationalization with data engineering and product teams, and deep-dive analyses to inform content strategy and product experience. Responsibilities include translating complex findings for leadership, identifying advanced analytics opportunities, and integrating model outputs into data products and dashboards. Requires 7+ years of experience, expert proficiency in Python and SQL, and hands-on experience with experimentation, ML pipelines, and cloud environments.
Job Role: Senior Data Scientist/Engineer
Pay Rate: $60/hr. on W2
Location - On Site Daily in Los Angeles
Eligibility: US Citizen or GC holder?
Duration: Long Term Contract
Excellent Communication
Description:
- 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