Marketing Data Scientist

SIX Group Services Ltd.; Województwo mazowieckie; Hybrid; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Flexible Work Models

Personal Development

Agile Working Methods

Job summary

SIX Group Services Ltd. in Warsaw is building a dedicated Tech & Data capability within the Marketing & Communications department to measure and steer marketing investment end-to-end.

You will own the full modelling stack in production for a B2B environment with long sales cycles and regulatory explainability. The role embeds in the modelling workstream from day one, collaborating with an implementation partner and delivering production-ready models with transparency and impact.

Qualifications

• Applied data-science background in Bayesian methods or econometrics.
• Hands-on with marketing mix modelling and/or attribution modelling in production.
• Strong Python and PySpark engineering craft on Databricks or similar platform.
• Experience designing experiments: control groups, geo tests, incrementality.
• Ability to document and explain models to non-technical stakeholders in regulated environments.
• Judgement to keep it simple where it adds value; complex only where needed.
• Experience embedding AI agents into business processes on Databricks AI gateway/endpoints.

Responsibilities

• Build and operate marketing mix models quantifying channel and brand contribution.
• Build and operate account-level multi-touch attribution models for long B2B cycles.
• Design and run incrementality and geo-lift experiments to calibrate models.
• Develop personalization and propensity models feeding segmentation and targeting.
• Own model refresh, monitoring, calibration and explainability to standards.
• Work hands-on in ML environment (MLflow, model serving) and collaborate with partner squads.
• Translate model outputs into scenario planning and budget optimization with Insights Lead.

Skills

Applied data science

Marketing mix modelling

Python/PySpark

Experiment design

Model explainability

Simplicity and value focus

AI agents in business processes

Tools

Databricks

MLflow

Model serving

Job description

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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.

Marketing Data Scientist

Warsaw | Up to 40% working from home possible | Reference 8339

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

If you have any questions, check out our FAQ page or call Agnieszka Leputa at [phone]

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.