Data Scientist (hybrid/office)

Andersen is a global technology provider delivering data analytics and AI-powered solutions that help organizations better understand customer behavior, optimize marketing performance, and make informed business decisions. The project focuses on developing a large-scale media intelligence platform analyzing consumer engagement across TV, digital, and connected devices, leveraging real-time, consented data to deliver audience insights, content analytics, and data-driven solutions for media and advertising.

• Hands-on experience in Data Science, including ownership of complex, multi-sprint projects for 3+ years.
• Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or another quantitative field (Master's degree preferred).
• Advanced proficiency in Python, including writing production-quality, well-tested, and well-documented code.
• Strong experience with SQL and PySpark, including processing datasets at billion-row scale.
• Hands-on experience with Databricks, including Workflows, Delta Lake, and job orchestration.
• Working knowledge of AWS or Google Cloud Platform (GCP).
• Strong foundation in Machine Learning, including regression, classification, clustering, model evaluation, and experimental design.
• Experience with MLOps practices, including experiment tracking, Airflow-based pipeline orchestration, and reproducible model deployment.
• Familiarity with modern AI technologies, including Retrieval-Augmented Generation (RAG), LLM-based applications, vector databases, and semantic search.
• Strong written and verbal communication skills, including technical documentation, user story creation, and cross-functional collaboration.
• Level of English – from Intermediate+ and above.

Nice to have:

• Knowledge graph construction, entity resolution, or semantic data modeling (RDF, OWL, SPARQL, or equivalent).
• Experience with probabilistic record linkage, identity graph approaches, and embedding-based entity matching at scale.
• Experience with causal inference methods, including A/B testing, synthetic control, and uplift modeling.
• Experience with deduplication, data enrichment, or web-to-TV linkage problems.
• Background in media, ad tech, or measurement specifically: TV viewership (ACR/STB data), digital audience modeling, cross-platform measurement (linear + CTV/OTT), identity resolution in privacy-constrained environments.
• Familiarity with the measurement/identity vendor landscape: Nielsen, Comscore, LiveRamp, The Trade Desk.

• 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 clearly in technical solution documents.
• Lead solution design for own initiatives.
• Break down complex epics into well-scoped user stories with clear acceptance criteria, adopting DataOps and MLOps best practices including experiment tracking, pipeline orchestration, model monitoring, and reproducibility.
• Build production-quality Python and PySpark code on Databricks; 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 improving 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 translating business requirements into technical specifications; partner with data engineering on scalable pipeline design; participate in cross-functional design reviews and working groups.

Informujemy, że administratorem danych jest Andersen Soft UAB z siedzibą w Krakow, ul. Al. Pokoju 18, 31 - 564 dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Just Join IT oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją.