Marketing Data Scientist

Technologies we use

Expected

• Python
• PySpark

About the project

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.

Your responsibilities

• 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

Our requirements

• 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

What we offer

• Opportunity to work on large-scale, modern cloud-native platforms and infrastructure.
• A strong engineering culture focused on automation, innovation, reliability, and continuous improvement.
• Freedom to introduce new ideas, tools, and AI-driven solutions that improve operations and developer experience.
• Access to professional training platforms, technical certifications, conferences, and continuous learning resources.
• Collaborative international environment with experienced engineers and modern technologies.
• Competitive compensation and career growth opportunities within a rapidly evolving engineering.

Benefits

• Employee Assistance Program
• Day for U (Day for Medical Checkup)
• My Benefit Cafeteria
• Udemy for Business
• meal allowance
• days for remote work from abroad
• fruits and popcorn in the office
• Christmas gifts
• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• integration events
• no dress code
• video games at work
• coffee / tea
• leisure zone
• extra social benefits
• holiday funds
• sharing the commuting costs
• employee referral program
• charity initiatives

SIX Global Services

SIX is a global Swiss company with two strong home markets: Switzerland and Spain. SIX provides technical infrastructure and services to banks and other international financial institutions. We run the stock exchanges in Zurich and Spain, offer global clearing and settlement services, sell financial information around the world and provide secure payment solutions to clients in Switzerland. In Warsaw SIX combines Swiss working culture with attractive job opportunities in the world of finance and IT. Since we opened our office in Poland in 2017, we are continuously growing and hiring. We offer you wide range of career opportunities in the center of Warsaw in a modern office space close to Rondo Daszyńskiego.

This is how we work