Staff Data Scientist Viewer Experience
Staff Data Scientist Viewer Experience
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Job Description
Job Summary
The incumbent will build and optimize end-to-end personalization systems refining scoring ranking and eligibility models; the role emphasizes robust experimentation model monitoring and alignment with lifecycle-based objectives leveraging advanced ML and data insights to address cold starts data drift and explainable outcomes.
General information about the company
Perched firmly at the nucleus of spellbinding content and innovative technology it is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week igniting the dreams and aspirations of hundreds of million people across geographies.
About the Team
At the project the Viewer Experience (VX) org is at the heart of how millions discover engage with and fall in love with our platform. We own the end-to-end user journey from first app launch to daily habit loopsacross Search Personalization Watch Experience Interactivity and more. We blend world-class engineering ML design and data to deliver a seamless personalized and engaging OTT experience at massive scale. If youre passionate about building immersive intelligent and performant user experiences that delight a billion users join us in shaping the future of streaming.
Your Key Responsibilities
- Analyze large-scale user behavior and content metadata to uncover actionable insights and build impactful personalization models.
- Design develop and deploy ML models including collaborative filtering content-based recommendations sequence models and retrieval-ranking pipelines.
- Integrate models into production systems ensuring low-latency high-accuracy performance at scale.
- Collaborate with engineers product managers designers and data scientists to define personalization goals and drive feature impact across user journeys.
- Develop robust A/B test frameworks analyze experiments and drive iteration based on performance and user engagement.
- Actively monitor model performance detect data drift and refine strategies to improve long-term personalization quality.
- Leverage LLMs and embeddings to improve personalization for underrepresented content new users and diverse formats.
- Present technical strategies and results to cross-functional stakeholders and leadership.
Skills and attributes for success
- Bachelors/Masters in Data Science Statistics Computer Science Mathematics or a related field with 8-10 years of experience in data science.
- Proven experience in data science and machine learning preferably in personalization or recommendation systems.
- Strong proficiency in Python SQL and relevant data science libraries (Pandas Scikit-learn TensorFlow PyTorch etc.)
- Expertise in building and deploying machine learning models into production systems.
- Experience with big data technologies (e.g. Hadoop Spark) and cloud platforms (e.g. AWS Google Cloud).
- Deep understanding of statistical analysis machine learning data mining and predictive modeling techniques.
- Should be comfortable leveraging LLMs and internals.
- Strong problem-solving skills with the ability to translate business problems into data science solutions.
- Excellent verbal and written communication skills with the ability to present complex information to non-technical stakeholders.
Employment Type
Full Time
