Data Scientist

• 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
• 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

Benefits

• Health Coverage: We have several choices of medical, dental, and vision plans with a range of coverage levels and costs, including a 100% employer-covered plan.
• Wellness & Lifestyle Perks: Our wellness programs are designed to help you maintain or move toward a healthy lifestyle through mindful meditations, gym access, and other assistance when you need it!
• Company Equity Plan: We believe in shared success. We want our employees to not just work for us, but to truly be part of our growth story.
• Volunteer Days: We’re committed to making a positive impact, both in and outside the workplace!
• Flexible Time Off: We encourage a healthy work-life balance which empowers our teams to recharge when needed and thrive both personally and professionally.
• Team & Company Events: We love to hang out together! We provide many opportunities to get to know each other whether virtually or in person.

• Databricks (nice to have/learn for 2027) workflows, Delta Lake, and job orchestration; working knowledge of cloud platforms (AWS or GCP)
• Team player
• 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
• 2+ years of hands-on data science experience with demonstrated ability to own and deliver complex, multi-sprint projects independently
• Bachelor’s degree required in Statistics, Data Science, Computer Science, Mathematics or a related quantitative field; Master’s strongly preferred
• Exposure to modern AI methodologies: RAG systems, LLM-augmented models, vector databases, and semantic search (showcase+examples)
• Solid command of core ML — regression, classification, clustering, model evaluation, and experimental design — applied to complex, high-volume data (2 questions to level)
• Demonstrated ability to mentor junior data scientists and contribute to team standards
• Strong communicator — able to translate technical work into clear documentation, user stories, and cross-functional conversations
• Proficiency with MLOps practices: experiment tracking and reproducible model deployment