Samba TV

Delivers TV audience measurement and insights

Data Scientist

Data ScienceConfirmed live in the last 24 hours

Full-timeWarsaw, PolandPLN180k - PLN330k /yrIn-person

About the Job

Requirements

A Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field is required.
Three to five years of hands-on data science experience, including independently owning and delivering complex, multi-sprint projects.
Advanced Python skills, including production-quality code, testing, and documentation; strong SQL and PySpark skills for billion-row datasets.
Experience with Databricks workflows, Delta Lake, and job orchestration, plus working knowledge of AWS or GCP.
Solid command of regression, classification, clustering, model evaluation, and experimental design applied to complex, high-volume data.
Proficiency in MLOps practices, including experiment tracking, pipeline orchestration with Airflow, and reproducible model deployment.
Exposure to RAG systems, LLM-augmented models, vector databases, and semantic search.
Ability to translate technical work into clear documentation, user stories, and cross-functional conversations.
Ability to mentor junior data scientists and contribute to team standards.

Responsibilities

Own end-to-end delivery of significant data science projects, from problem scoping and approach design through production deployment.
Make independently reasoned decisions on methodology, model selection, and evaluation, and document them in technical solution documents covering the problem statement, approach, metrics, and timeline.
Lead solution design for own initiatives and break complex epics into well-scoped user stories with clear acceptance criteria, applying DataOps and MLOps practices such as experiment tracking, pipeline orchestration, model monitoring, and reproducibility.
Build production-quality, tested, documented, and reusable Python and PySpark code on Databricks, and implement ML and AI 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 specific, constructive feedback.
Mentor junior data scientists on technical execution, code quality, and career development; lead internal talks or workshops on ML topics.
Collaborate with product, engineering, and operations to translate business requirements into technical specifications, partner with data engineering on scalable pipeline design, and participate in cross-functional design reviews and working groups.

Desired Qualifications

A Master's degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field is strongly preferred.
Hands-on experience with knowledge graph construction, entity resolution, or semantic data modeling using 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 such as A/B testing, synthetic control, or uplift modeling.
Experience with deduplication, enrichment, or web-to-TV linkage problems.
Background in media, ad tech, or measurement, including TV viewership data such as ACR or STB data, digital audience modeling, cross-platform measurement across linear and CTV/OTT, or identity resolution in privacy-constrained environments.
Familiarity with measurement and identity vendors such as Nielsen, Comscore, LiveRamp, or The Trade Desk.

Salary Range: 180000 to 330000 (Currency: PLN) (Pay period: per-year-salary)

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.

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.

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. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

About the Company

Samba TV

Delivers TV audience measurement and insights

Samba TV collects and analyzes TV viewing data to help advertisers, broadcasters, and content creators understand what people watch. It embeds its technology in about 35 million smart TVs across 20 brands, creating a large viewership database and a household identity graph. The system works by using a proprietary multi-source panel from participating TVs to gather viewing activity, then turning that data into insights and analytics that clients can use to plan ads, optimize content, and measure performance. What sets Samba TV apart is the size and scope of its data: it claims the largest end-to-end viewership dataset and identity graph in the industry, with a panel hundreds of times larger than typical measurements and broad brand partnerships, while offering privacy controls for viewers who opt in or out. The company aims to provide data-driven, actionable insights to improve advertising effectiveness and content delivery across the global smart TV market.

Company size: 201-500
Company stage: Debt Financing
Total funding: $75.7M
Headquarters: San Francisco, CA
Founded: 2008

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