Data Scientist

Andersen is a global software development company with over 18 years of experience supporting businesses worldwide in digital transformation. Headquartered in Poland, it operates development centers across multiple countries, delivering end-to-end IT services including custom software development, API integration, system architecture, legacy modernization, and long-term support. The company specializes in AI, Machine Learning, Data Science, Big Data, and Visual Technologies to create scalable and secure digital products. Andersen has a portfolio of long-term partnerships with industry leaders and a team of 3,700+ experts delivering projects across various industries such as Healthcare, FinTech, Logistics, and Automotive.

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

Nice to have:

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

• 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.