Senior Data Scientist/Engineer (Streaming/Digital Media)

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