W skrócie
- Zadania: Buduj i zarządzaj modelami marketingowymi oraz analizuj dane w dynamicznym środowisku.
- Firma: Innowacyjna firma finansowa z globalnym zasięgiem i lokalnymi korzeniami.
- Benefity: Elastyczne modele pracy, rozwój osobisty i kultura ciągłego uczenia się.
- Pozostałe informacje: Praca w zespole zwinnych metod i możliwość pracy zdalnej do 40% czasu.
- Dlaczego ta praca: Zyskaj pełną kontrolę nad modelowaniem danych w ekscytującym środowisku B2B.
- Kwalifikacje: Doświadczenie w zastosowanej nauce o danych i umiejętności inżynieryjne w Pythonie.
Przewidywane wynagrodzenie mieści się w przedziale 82800 - 101200 zł za rok.
SIX drives the transformation of financial markets. What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.
SIX is building a dedicated Tech & Data capability within the Marketing & Communications (CMC) department, with the ambition to measure and steer marketing investment end-to-end: marketing mix modelling, multi-touch attribution and ROMI, operated in-house on the enterprise Databricks platform. Reporting to the Head Tech & Data Marketing & Communications, the Marketing Data Scientist owns the models themselves. The capability is built together with an implementation partner — this role is embedded in the modelling workstream from the first sprint and takes over the run: refresh, calibration, evolution. From day one it also shapes the methodological route, choosing where transparent contribution rules suffice and where advanced modelling earns its complexity. This is an opportunity for an applied data scientist who wants ownership of a full modelling stack in production, in a B2B environment with long sales cycles, buying committees, and a regulated context that takes explainability seriously.
What You Will Do
- Build and operate marketing mix models (Bayesian / econometric) quantifying channel and brand contribution across business units
- Build and operate account-level multi-touch attribution (MTA) models designed for long B2B cycles, buying committees and in-flight opportunities
- Design and run incrementality and geo-lift experiments; use them to calibrate and challenge the models
- Develop personalization, propensity and further applied-AI models feeding segmentation, targeting and next-best-action use cases
- Own model refresh, monitoring, calibration, documentation and explainability to finance-grade and regulatory standards
- Work hands-on in the ML environment (MLflow, model serving, AI endpoints); embed with the implementation partner's model squad and own the handover
- Translate model outputs into scenario planning and budget optimisation together with the CMC Measurement & Insights Lead
What You Bring
- A strong applied data-science background: Bayesian methods or econometrics, causal inference, time-series modelling
- Hands-on experience with marketing mix modelling and/or attribution modelling in production; B2B context a plus
- Solid engineering craft: Python, PySpark and ML lifecycle tooling on Databricks or a comparable platform
- Experience designing experiments: control groups, geo tests, incrementality measurement
- The discipline to document and explain models to non-technical stakeholders in a regulated environment
- The judgement to keep it simple where simple wins — transparent rules first, complexity where it demonstrably adds value
- Experience embedding AI agents into business processes — designing, building and evaluating agentic workflows (e.g. on Databricks AI gateway and endpoints) beyond classic modelling
Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.
What We Offer
- Flexible Work Models: We trust our employees and offer a work environment that is well-balanced, productive and fosters success.
- Personal Development: You will benefit from a culture of continuous learning and feedback. Your personal growth is supported through an extensive learning offering.
- Agile Working Methods: Whether through scrum or design thinking, we solve exciting tasks together in teams.
Marketing Data Scientist in Warsaw – pracodawca: SIX Group Services Ltd.
SIX Group Services Ltd. to doskonały pracodawca, oferujący elastyczne warunki pracy w trybie zdalnym lub hybrydowym, co sprzyja równowadze między życiem zawodowym a prywatnym. Nasza kultura pracy opiera się na współpracy i innowacyjności, a pracownicy mają możliwość rozwoju zawodowego poprzez różnorodne projekty w międzynarodowym środowisku. Dodatkowo, oferujemy atrakcyjne benefity oraz wsparcie w zakresie zgodności regulacyjnej, co czyni nas idealnym miejscem dla analityków danych z pasją do finansów.
