Data Scientist

🏢 ОфисMiddleПолная занятость

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Наша компания

We are looking for a Data Scientist in Poland to join an international software development and outsourcing company and work on a project developing a large-scale media intelligence platform and delivering AI-powered audience analytics solutions. The company 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. By transforming large volumes of data into actionable insights, it enables enterprises to improve audience engagement, measure

О роли

The project is focused on developing a large-scale media intelligence platform that analyzes consumer engagement across TV, digital, and connected devices. It leverages real-time, consented data to deliver audience insights, content analytics, and data-driven solutions for media and advertising.

Чем предстоит заниматься

Owning end-to-end delivery of significant data science projects — from problem scoping and approach design through to production deployment

Making sound, independently-reasoned decisions on methodology, model selection, and evaluation; documenting them clearly in technical solution documents covering problem statement, approach, metrics, and timeline

Leading solution design for your own initiatives

Breaking 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

Building 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

Developing and maintaining reusable tools, libraries, and documentation that improve team efficiency and technical standards

Conducting code reviews with constructive, specific feedback that raises the bar

Mentoring junior data scientists on technical execution, code quality, and career development

Leading internal talks or workshops on ML topics

Collaborating cross-functionally with product, engineering, and operations — translating business requirements into technical specifications, partner with data engineering on scalable pipeline design, and participate in cross-functional design reviews and working groups

Наши требования

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

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

Мы предлагаем

Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson & Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc

The opportunity to change the project and/or develop expertise in an interesting business domain

Job conditions – you can work both fully remotely and from the office or can choose a hybrid variant

Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee

The opportunity to earn up to an additional 1,000 EUR per month, depending on the level of expertise, which will be included in the annual bonus, by participating in the company's activities

Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated

Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies)

Certification compensation (AWS, PMP, etc)

Referral program

Private health insurance and sports compensation, depending on the type of employment

Employment Contract/ B2B