--- title: 'Data Scientist at Samba' canonical: 'https://feeny.ai/job/data-scientist-samba-amsterdam-cq236q9e9445' type: 'job' last_seen: '2026-09-07' --- # Data Scientist at Samba - **Company:** Samba - **Location:** Amsterdam, Netherlands - **Employment:** internship - **Work type:** onsite - **Posted:** 2026-08-25 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/sambatv/3a1e7fbc-81e7-44ca-961e-95d9c46a29dc ## Job description 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 Junior Data Scientist at Samba in Amsterdam, 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 — Identity and 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. 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 - 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 - Be a team player and collaborate with different teams. - 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 - 2+ years of hands-on data science experience with demonstrated ability to own and deliver complex, multi-sprint projects independently - Advanced Python (or any other programming language+Claude/Codex/any other) with production-quality code, testing, and documentation; strong SQL and PySpark for billion-row datasets - Databricks  (nice to have/learn for 2027) 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 (2 questions to level) - Proficiency with MLOps practices: experiment tracking and reproducible model deployment - Exposure to modern AI methodologies: RAG systems, LLM-augmented models, vector databases, and semantic search (showcase+examples) - 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 - ## Team player ## About Samba ## Company Overview - **One-liner**: Samba (formerly Samba TV) is a media intelligence company that uses AI and first-party deterministic data from 1.5 billion people to power cross-screen TV and digital advertising measurement, targeting, and analytics for the world's largest brands, publishers, and platforms. - **Entity Type**: Private (Series B) - **Headquarters**: San Francisco, California, United States - **Founded**: 2008 - **Founders**: Ashwin Navin (Co-founder & CEO), Alvir Navin (Co-founder & COO) ## Core Business - **Primary Industry**: Media Intelligence / Advertising Technology / Data & Analytics - **Target Customers**: B2B — primarily Enterprise (global brands, agencies, publishers, and platforms like Disney, Havas Media, and "the vast majority of top global brands") - **Mission Statement**: Unite TV, digital, and behavioral data through AI to power faster, more accurate media decisions. ## Products & Services - **Samba Analytics**: Independent cross-screen measurement using first-party data for deduplicated reach, frequency, and performance outcomes. Allows optimization of campaigns while they are still in-flight. - **Samba Audiences**: Exclusive audience segments and Private Marketplaces (PMPs) built from Samba's deterministic cross-screen signals for effective targeting. - **Samba Knowledge Graph**: AI-powered mapping of interests, behaviors, and purchase intent, linking content to 1.5 billion real people, devices, and households. - **Samba ID**: A universal identity solution linking content to real people and devices across screens. - **Samba AI**: Contextually analyzes and indexes all media content, including brand logo detection on TV. ## Market Standing - **Valuation**: Not publicly disclosed - **Total Funding**: $75.7M USD across 9 rounds - Last known round: Series B ($30M, June 2017, led by Union Grove Venture Partners and Disney Accelerator) - Other notable rounds: Series A ($7M, February 2012, led by August Capital) - **Key Metric**: Owns first-party TV and web data for 1.5 billion people globally. - **Notable Investors/Partners**: August Capital, Union Grove Venture Partners, Disney Accelerator. Strategic clients include Disney, Havas Media, and "every platform and publisher you need." - **Growth Signals**: Acquired Semasio in 2024, becoming the only provider owning both TV and web first-party data. Rebranded from "Samba TV" to "Samba" in 2026. Global workforce of 251 employees (+20.1% YoY growth). Operations span 6 countries with 13 offices. ## Competitive Advantages - **First-Party Data Moat**: Nearly two decades of proprietary, deterministic data from smart TVs (24 brands, 48M devices) and web (1.5B people), creating a unique and un-copyable dataset. - **Full-Funnel Integration**: The only provider to combine TV and web first-party data (after acquiring Semasio), offering planning, measurement, and activation in one platform. - **AI-Powered Knowledge Graph**: Goes beyond traditional media measurement by mapping interests, behaviors, and purchase intent, enabling contextual analysis without relying on third-party cookies. ## Strategic Focus - **Platform Expansion**: Evolving from a TV data provider into a comprehensive "media intelligence" company (rebranded in 2026). - **Cross-Screen Unification**: Connecting TV and digital data to provide a complete view of audience behavior across all screens. - **AI & Contextual Intelligence**: Deepening investment in AI for content analysis, brand detection, and predictive audience targeting. - **Global Scale**: Operating across six continents and expanding direct partnerships with major platforms and publishers. ## Why Work Here - **Founder-Led Culture**: Described as having "startup intensity and enterprise impact," with a "culture that values ownership over hierarchy and outcomes over optics." - **Global & Distributed**: Teams span San Francisco (HQ), New York, London, Hamburg, Sydney, Los Angeles, Chicago, Austin, Warsaw, Taipei, and Amsterdam. Officed with a global, collaborative ethos. - **Engineering & Data-First**: Ships products that "touch billions of signals daily." A strong emphasis on data science, engineering, and product roles. - **Compensation & Benefits**: Competitive base salary, equity participation, performance bonuses, generous parental leave, flexible PTO, annual learning budgets, home office stipend, and best-in-class hardware. - **Culture Values** (from company career page): Determined & Resilient, Self-Aware, Naturally Curious, Low Ego, Results Oriented. - **Employee Rating**: 3.9/5.0 on LinkedIn (172 reviews), with Work-Life Balance at 3.9, Compensation at 3.8, and Culture at 3.8. ## Sources 1. [samba.com](https://samba.com/about-samba) — About Samba / Company History 2. [samba.com](https://samba.com/careers) — Careers Page / Culture & Benefits 3. [samba.com](https://samba.com/) — Home Page / Product & Platform Overview 4. [linkedin.com/company/sambatv](https://www.linkedin.com/company/sambatv) — LinkedIn Profile (Company Details, Size, Financials) 5. [jobs.lever.co/sambatv](https://jobs.lever.co/sambatv) — Lever Careers Page (Open Roles) ## Other roles at Samba - [Senior Director - Data Platform and Cloud Services](https://feeny.ai/job/senior-director-data-platform-and-cloud-services-samba-warsaw-vnpe99twtfcg) — Warsaw, Poland - [Senior Ontologist - Knowledge Graph & Identity](https://feeny.ai/job/senior-ontologist-knowledge-graph-identity-samba-warsaw-maadbvvzpzgv) — Warsaw, Poland - [Data Scientist](https://feeny.ai/job/data-scientist-samba-warsaw-11hwb6kajyaz) — Warsaw, Poland - [Software Development Engineer in Test](https://feeny.ai/job/software-development-engineer-in-test-samba-porto-6qf6nra7fhpa) — Porto, Portugal - [Associate Measurement Partner](https://feeny.ai/job/associate-measurement-partner-samba-london-yknw975zv4zy) — London, United Kingdom - [Programmatic Account Manager - German Speaking](https://feeny.ai/job/programmatic-account-manager-german-speaking-samba-london-afavw00gcd6v) — London, United Kingdom - [Full Stack Engineer](https://feeny.ai/job/full-stack-engineer-samba-san-francisco-5fr298dp4qwq) — San Francisco, CA - [Workplace Experience Coordinator](https://feeny.ai/job/workplace-experience-coordinator-samba-new-york-city-zbwn6na20a0g) — New York City, NY - [Principal Engineer, Architecture — Audiences & Measurement](https://feeny.ai/job/principal-engineer-architecture-audiences-measurement-samba-austin-97bw5v1r7h3d) — Austin, TX - [Principal, Insights & Innovation](https://feeny.ai/job/principal-insights-innovation-samba-chicago-sb1j6490eazc) — Chicago, IL