Data Scientist at Samba TV

Samba TV; Warszawa; On-site; PLN 180,000 - 330,000; Full time

Job summary

Samba TV in Warszawa, Poland, is seeking a Data Scientist for a full-time, on-site role. You will own end-to-end data science projects from scoping to production deployment, designing robust methodologies and documenting them clearly.

Responsibilities include leading solution design, building production-grade Python and PySpark code on Databricks, and mentoring junior data scientists while collaborating with product, engineering, and operations to translate business needs into technical

Qualifications

• Bachelor's degree in Statistics, Data Science, CS, or mathematics.
• 3–5 years of hands-on data science experience; able to own multi-sprint projects.
• Advanced Python, SQL, PySpark; production-quality code and documentation.
• Experience with Databricks, Delta Lake, and job orchestration (Airflow).
• Knowledge of ML methods, MLOps practices, and cloud platforms (AWS or GCP).

Responsibilities

• Own end-to-end data science projects from problem scoping to deployment.
• Design methodologies, document approach, metrics, and timelines clearly.
• Lead solution design, break down epics into user stories with acceptance criteria.
• Build production-grade Python and PySpark code on Databricks; scalable pipelines.
• Mentor junior data scientists and collaborate cross-functionally.

Skills

Python

SQL

PySpark

Databricks

MLOps

LLM-augmented models

Cloud platforms

Education

Bachelor's degree

Master's preferred

Tools

Delta Lake

Airflow

Job description

Data Scientist at Samba TV in Warszawa, MZ, PL.

This Full time on site position offers great opportunities for career growth. Warsaw Engineering - Data Science & Analytics / International Full Time Employee / On-site Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it's the most interesting data asset on the planet, because it's the most culturally relevant.

What You'll Do:

• Own end-to-end delivery of significant data science projects - from problem scoping and approach design through to production deployment
• 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
• 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, and reproducibility
• 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
• 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 ML topics
• Collaborate cross-functionally with product, engineering, and operations - translate business requirements into technical specifications, partner with data engineering on scalable pipeline design, and participate in cross-functional design reviews and working groups

Who You Are:

• Bachelor's degree required in Statistics, Data Science, Computer Science, Mathematics or a related quantitative field; Master's strongly preferred
• 3-5 years of hands-on data science experience with demonstrated ability to own and deliver complex, multi-sprint projects independently
• Advanced Python with production-quality code, testing, and documentation; strong SQL and PySpark for billion-row datasets
• Databricks workflows, Delta Lake, and job orchestration; working knowledge of cloud platforms (AWS or GCP)
• Solid command of core ML - regression, classification, clustering, model evaluation, and experimental design - applied to complex, high-volume data
• Proficiency with MLOps practices: experiment tracking, pipeline orchestration (Airflow), and reproducible model deployment
• Exposure to modern AI methodologies: RAG systems, LLM-augmented models, vector databases, and semantic search
• Strong communicator - able to translate technical work into clear documentation, user stories, and cross-functional conversations
• Demonstrated ability to mentor junior data scientists and contribute to team standards

Preferred skills:

• Hands-on experience with knowledge graph construction, entity resolution, or semantic data modeling (RDF, OWL, SPARQL, or equivalent graph frameworks)
• Familiarity with probabilistic record linkage, identity graph approaches, or embedding-based entity matching at scale
• Experience with causal inference methods (A/B testing, synthetic control, uplift modeling)
• Experience with deduplication, enrichment, or web-to-TV linkage problems
• 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)

180,000 zł - 330,000 zł a year

Samba 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 may collect personal information directly from you, as a job applicant, Samba 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.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.