Data Scientist

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.

As a mid-level Data Scientist on Samba TV's Knowledge Graph & Identity team in Warsaw, you will own end-to-end delivery of significant data science projects with minimal guidance. You are a reliable, autonomous contributor with deep expertise in at least one of Samba's core domains - knowledge graphs, identity spine, measurement, or audience modeling - and the technical range to build production-ready solutions using modern ML and AI methodologies. You'll work closely with peers, product, and engineering, and play an active role in mentoring junior data scientists on the team.

What You'll Do::
• Own end-to-end delivery of significant data science projects — from problem scoping and approach design through to production deployment, with a focus on knowledge graph and identity solutions
• Make sound, independently-reasoned decisions on methodology, model selection, and evaluation; document them clearly in technical solution documents covering problem statement, approach, metrics, and timeline
• Build production-quality Python and PySpark code on Databricks — well-tested, documented, and reusable — and implement advanced ML and AI-powered workflows including entity resolution, probabilistic record linkage, embedding-based matching, semantic similarity, and LLM-augmented pipelines
• Lead solution design for your own initiatives; break down complex epics into well-scoped user stories with clear acceptance criteria, adopting DataOps and MLOps best practices throughout (experiment tracking, pipeline orchestration, model monitoring, reproducibility)
• Develop and maintain reusable tools, libraries, and documentation that improve team efficiency and technical standards; conduct code reviews with constructive, specific feedback that raises the bar
• Mentor junior data scientists on technical execution, code quality, and career development; lead internal talks or workshops on knowledge graphs, identity, or ML topics
• Collaborate cross-functionally with product, engineering, and operations — translate business requirements into technical specifications and partner with data engineering on scalable pipeline design; participate in cross-functional design reviews and working groups

Who You Are: :
• Bachelor's degree required in Statistics, Data Science, Computer Science, Mathematics or related field; Master's preferred
• 5-7 years of hands-on data science experience with 1-2+ years in a direct people-management or team-lead role with demonstrated ability to develop, retain, and hire data scientists
• Solid command of core statistics and ML - hypothesis testing, probability, regression, classification, clustering, model evaluation, and experimental design
• Strong Python (pandas, NumPy, PySpark, scikit-learn) and SQL; Databricks or similar platform experience essential
• Familiarity with MLOps practices: experiment tracking, pipeline orchestration (Airflow), reproducible model deployment
• Detail-oriented and proactive in anticipating delivery risksComfortable running Agile ceremonies and maintaining consistent sprint cadence across a distributed team
• Strong communicator - able to give direct, constructive feedback and advocate for your team to key stakeholders

Preferred skills::
• Hands-on experience with knowledge graph construction, ontology design, or semantic data modeling (RDF, OWL, SPARQL, or equivalent graph frameworks)
• Familiarity with entity resolution, probabilistic record linkage, or identity graph approaches at scale
• Experience applying graph-based or embedding-based methods to real-world entity matching, deduplication, or enrichment problems
• Exposure to modern AI methodologies: RAG pipelines, embedding models, vector search, and LLM-based approaches
• Background in media, ad tech, or measurement — TV viewership (ACR/STB data), digital audience modeling, cross-platform measurement (linear + CTV/OTT), or identity resolution in privacy-constrained environments
• Familiarity with the measurement and identity vendor landscape (Nielsen, Comscore, LiveRamp, The Trade Desk) a plus
• Experience with causal inference (A/B testing, synthetic control, uplift modeling) a plus

Samba TV is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba TV may collect personal information directly from you, as a job applicant, Samba TV may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.