Marketing Data Scientist

SIX Group is hiring a Marketing Data Scientist in Warsaw, Poland. Level rates it ; you can apply on SIX Group.

Level's read on this job

On Level's scale, this data scientist role is Little AI ●○○○: aI is not part of the work.
The posting mentions MLflow, Databricks and AI agents among its tools and skills.
SIX Group has 89 other open roles on Level.

AI in this role

mlflowdatabricks

ai-agents

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 +48 538 562 645

For this vacancy we only accept direct applications.

Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.

How we rate this

Marketing Data Scientist at SIX Group rates 5 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Marketing Data Scientist is an open job at SIX Group.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Warsaw.
The job was posted on October 14, 2026.
Applications are handled by SIX Group. Apply on SIX Group

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsMLflowDatabricks

Also common in data scientist jobs at this level

SQL Machine learning AWS LLM dbt Generative AI

Pay

Typical data scientist job: $167k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used MLflow in your day-to-day work.
What are the limits of Databricks that you've run into, and how did you work around them?

Adapt your resume

List these exact terms on your resume: AI agents, MLflow, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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