Data Scientist II - Viewer experience

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:

• Proven experience in data science and machine learning
• 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

Preferred education and experience:

• Bachelors/Master's in Computer Science, Statistics, Mathematics, or related quantitative field with 2-4 years of experience in data science/machine learning