Data Science Manager

O projekcie: Correct Context is looking for a Data Science Manager for Samba TV in Warsaw, Poland. Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. We offer: - Real big data projects 🚀  - An international team (US, PL, GB) 🌎  - A small, independent team working environment 🧑‍💻  - High influence on working environment 🎯  - A hands-on environment with real ownership 🛠️  - Hybrid work model in Warsaw, Poland (3 days in the office / 2 days from home) 🏢  - 24,000 - 29,000 PLN net/month B2B 💰  - Free lunch in the office 🍽️  If you don't have all the qualifications, but you think there is a match, let's talk! The recruitment process for theData Science Manager position has following steps: - Technical survey ~ 10min  - Technical screening - 30 min  - Technical Interviews with Samba TV team members - 3 or 4 interviews of around 60 min each Wymagania: The candidate must have: - Experience managing Data Science teams - A people-first leadership approach and a track record of developing team members - 5+ years of data science experience with strong statistics and machine learning fundamentals - Hands-on proficiency in Python and SQL - Ability to work cross-functionally and communicate effectively with both technical and non-technical stakeholders - Bachelor's degree required Nice to have: - Knowledge graphs and semantic modeling (RDF, OWL, SPARQL, or equivalent graph frameworks) - Entity resolution and identity graph experience - Experience with modern data platforms such as Databricks, BigQuery, Snowflake, or similar - Graph-based or embedding-based methods - Modern AI methodologies, including RAG Codzienne zadania: - Lead and grow a team of 4-6 data scientists building knowledge graph and identity solutions  - Translate business challenges into technical roadmaps and oversee end-to-end delivery  - Prioritize people leadership through hiring, clear goals, coaching, and team development  - Partner closely with Product and Engineering on scoping, prioritization, and execution  - Stay hands-on when helpful, supporting model development and technical decision-making  - Champion best practices in code reviews, modular architecture, and documentation  - Present findings and strategic recommendations to senior stakeholders