Data Science Lead (Direct-to-Consumer Streaming)
Santa Monica, CA, United States
Full Time Senior-level / Expert USD 180K - 200K
Sinclair Inc.
Sinclair Broadcast Group, Inc. is a diversified media company and leading provider of local news and sports.As the Data Science Lead for our direct-to-consumer (DTC) streaming platform, you will spearhead analytics initiatives to optimize user engagement, content strategy, and subscriber growth. Our DTC streaming platform is at the forefront of redefining how fans engage with the sport. Weāre seeking a visionary Data Science Lead to drive data-driven innovation and growth in our dynamic streaming business.
Youāll translate complex data into actionable insights, partnering closely with the VP of Product and cross-functional teams to shape the future of our streaming experience. This role blends technical expertise, leadership, and strategic thinking to impact millions of tennis enthusiasts globally.
Key Responsibilities
- Data Strategy & Leadership
- Develop and execute a data science roadmap aligned with business objectives (e.g., subscriber acquisition, retention, monetization).
- Partner with the SVP of DTC and VP of Product to prioritize high-impact analytics projects.
- Mentor a team of data scientists and analysts, fostering a culture of innovation and collaboration.
- Advanced Analytics & Modeling
- Build ML models for churn prediction, personalized content recommendations, and lifetime value forecasting.
- Design A/B tests to optimize user journeys, pricing, and feature rollouts.
- Analyze viewer behavior to uncover trends in content consumption and platform usage.
- Product & User Experience
- Define KPIs and dashboards to monitor product performance and user engagement.
- Collaborate with product managers to identify opportunities for feature enhancements (e.g., search, notifications, streaming quality).
- Translate insights into actionable recommendations for engineering and design teams.
- Content & Marketing Optimization
- Analyze content performance to inform programming decisions and licensing strategies.
- Support marketing teams with audience segmentation, campaign targeting, and ROI analysis.
- Predict viewership trends to guide live event coverage and on-demand content curation.
- Data Infrastructure & Governance
- Partner with engineering to enhance data pipelines, ensuring scalability and real-time analytics capabilities.
- Advocate for data quality, governance, and compliance with privacy regulations (e.g., GDPR, CCPA).
Qualifications
- Masterās or PhD in Data Science, Computer Science, Statistics, or related field
- 7+ years in data science, including 2+ years leading teams. Streaming, media, or sports industry experience preferred
- Proficiency in Python/R, SQL, and ML frameworks (TensorFlow, PyTorch)
- Expertise in cloud platforms (AWS, GCP) and big data tools (Spark, Hadoop)
- Familiarity with visualization tools (Tableau, Looker) and event-tracking systems (Snowplow, Segment)
- Exceptional communication skills, with the ability to distill insights for executives and non-technical stakeholders
Preferred Qualifications
- Passion for tennis or sports media
- Experience with live-streaming technologies and real-time analytics
Tennis Channel is proud to be equal opportunity employer and a drug free workplace. Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law.
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About PickleballTVĀ
Pickleballtv (PBTV) is the 24-hour television home of Americaās fastest growing sport. With coverage of tournaments throughout the year, the network offers 1,000+ hours of live matches from the gameās top professionals and biggest stars. PBTV also provides viewers with first-class instruction, exclusive lifestyle programming and studio news content and more.Ā
About Tennis Channel
Tennis Channel is the media home to two twenty-four-hour television networks, a subscription streaming service, online magazine and podcasts dedicated to the sport and its unique lifestyle. The tennis-media hub is home to every aspect of the wide-ranging, worldwide tennis community. Tennis Channel is carried nationwide by every one of the top ten pay-TV service providers.
About Sinclair
Sinclair, Inc. (Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports. The Company owns, operates and/or provides services to 185 television stations in 86 markets affiliated with all the major broadcast networks; and owns Tennis Channel and multicast networks Comet, CHARGE!, ROAR, and The Nest. Sinclair's content is delivered via multiple platforms, including over-the-air, multi-channel video program distributors, and the nation's largest streaming aggregator of local news content, NewsON. The Company regularly uses its website as a key source of Company information which can be accessed atĀ www.sbgi.net.
About the Team
The life-blood of our organization is our people. We have a compelling story, a goal-oriented culture, and we take really good care of people. How good? Here is a glimpse: great benefits, open-door policy, upward mobility and a strong desire to see you succeed. Ready to be part of a winning team? Letās talk.
The base salary compensation range for this role is $180,000 to $200,000. Final compensation for this role will be determined by various factors such as a candidatesā relevant work experience, skills, certifications, and geographic location. Full time positions are eligible for benefits that include participation in a retirement plan, life and disability insurance, health, dental and vision plans,Ā flexible spending accounts, sick leave, vacation time, personal time, parental leave and employee stock purchase plan.
#tennis
Tags: A/B testing AWS Big Data Computer Science Data pipelines Data quality Data strategy Engineering GCP Hadoop KPIs Looker Machine Learning ML models .NET PhD Pipelines Privacy Python PyTorch R Spark Sports industry SQL Statistics Streaming Tableau TensorFlow
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance Parental leave Startup environment
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