Data Scientist

15 октября 2026 г.

Middle

Warsaw, Poland

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Описание

A media intelligence company is hiring a mid-level Data Scientist in Warsaw to own end-to-end delivery of data science projects. The role spans problem scoping, methodology and model selection, and production deployment of ML and AI workflows on Databricks using Python and PySpark. Core domains are measurement and audience modelling, with MLOps practices, LLM-augmented pipelines and cross-functional collaboration with product and engineering. The position also involves mentoring junior data scientists and leading internal ML talks.

Обязанности

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
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

Требования

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
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)

Условия

Work location: Warsaw, Mazowieckie, Poland

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