Data Scientist

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

Job summary

Samba TV in Warsaw is seeking a mid-level Data Scientist to own end-to-end data science projects from problem framing to production deployment, with autonomous delivery and deep expertise in measurement or audience modelling. You will mentor junior data scientists and collaborate with product and engineering to translate business needs into scalable analytics solutions.

You'll develop production‑quality Python and PySpark code on Databricks, implement ML workflows including entity resolution and

Qualifications

• Bachelor's degree in a quantitative field; Master's preferred.
• 3–5 years of hands-on data science experience delivering complex projects.
• Strong Python, SQL and PySpark with production‑quality code.

Responsibilities

• Own end-to-end data science projects from scoping to deployment.
• Design methodologies, document solutions, and track metrics.
• Lead design for initiatives; create user stories with acceptance criteria.
• Build production‑quality Python and PySpark code on Databricks.
• Develop reusable tools, conduct code reviews, and mentor juniors.
• Collaborate cross‑functionally with product, engineering, and ops.

Skills

Advanced Python

SQL

PySpark

Databricks

Airflow

MLOps

LLM/AI

Communication

Mentoring

Education

Bachelor's degree in Statistics/Data Science/CS

Master's preferred

Tools

Delta Lake

Airflow

Job description

As a mid-level Data Scientist at Samba 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—measurement, or audience modelling—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
• 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)

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.

180000 - 330000 PLN a year