We are seeking a Staff Data Scientist to join our partner's Viewer Experience team and help shape how millions of users discover, engage with, and enjoy streaming content. You will build and optimize end-to-end personalization systems, refine scoring, ranking, and eligibility models, and leverage advanced ML to address cold starts, data drift, and explainable outcomes.

🚀Key Responsibilities:

Analyze large-scale user behavior and content metadata to extract actionable insights.
Design, develop, and deploy ML models: collaborative filtering, content-based recommendations, sequence models, and ranking pipelines.
Integrate models into production systems with low latency and high accuracy at scale.
Collaborate with engineers, product managers, designers, and data scientists to define personalization goals.
Develop robust A/B testing frameworks, analyze experiments, and iterate based on performance and engagement.
Monitor model performance, detect data drift, and refine strategies for long-term personalization quality.
Leverage LLMs and embeddings to improve recommendations for new users, underrepresented content, and diverse formats.
Present technical strategies and results to cross-functional stakeholders and leadership.

🤖Qualifications:

BSc/MSc in Data Science, Statistics, Computer Science, Mathematics, or a related field.
8–10 years of experience in data science, preferably in personalization or recommendation systems.
Strong proficiency in Python, SQL, and relevant libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
Expertise in building and deploying ML models into production systems.
Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, GCP).
Strong understanding of statistical analysis, machine learning, data mining, and predictive modeling.
Comfortable leveraging LLMs and embeddings for personalization.
Excellent problem-solving skills and ability to translate business problems into data science solutions.

⚡Why Join: