Data Scientist

Andersen is hiring a Data Scientist in Poland for a project developing a large-scale media intelligence platform and AI-powered audience analytics solutions.

The platform analyses consumer engagement across TV, digital, and connected devices, using real-time, consented data to deliver audience insights and content analytics for media and advertising.

Responsibilities:

• Own end-to-end delivery of data science projects, from scoping and solution design to production.
• Select and document methodologies, models, metrics, and timelines.
• Build production-quality Python and PySpark solutions on Databricks.
• Apply DataOps/MLOps best practices, including experiment tracking, orchestration, monitoring, and reproducibility.
• Develop ML/AI workflows such as entity resolution, probabilistic record linkage, embeddings, semantic similarity, and LLM-augmented pipelines.
• Create reusable tools and documentation, conduct code reviews, and mentor junior data scientists.
• Collaborate with product, engineering, and operations on scalable solutions.

Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policy/pl

Join us!

Must-haves:

• 3+ years of Data Science experience, including ownership of complex, multi-sprint projects.
• Bachelor’s degree in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field; Master’s preferred.
• Advanced Python with production-quality, tested code.
• Strong SQL and PySpark, including billion-row datasets.
• Hands-on Databricks: Workflows, Delta Lake, and job orchestration.
• Working knowledge of AWS or GCP.
• Strong ML fundamentals: regression, classification, clustering, model evaluation, and experimental design.
• MLOps experience: experiment tracking, Airflow orchestration, and reproducible deployment.
• Familiarity with RAG, LLM applications, vector databases, and semantic search.
• Strong communication and documentation skills.
• English: Intermediate+.

Nice to have:

• Knowledge graphs, entity resolution, RDF/OWL/SPARQL, record linkage, identity graphs, or embedding-based matching.
• Causal inference, A/B testing, synthetic control, or uplift modeling.
• Deduplication, enrichment, or web-to-TV linkage.
• Media/ad tech experience: TV/ACR/STB, audience modelling, cross-platform measurement, or privacy-aware identity resolution.
• Familiarity with Nielsen, Comscore, LiveRamp, or The Trade Desk.