Senior Data Scientist – Marketing Analytics & Growth

Sii Poland; Kraków; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Centre of internal trainings

Job summary

Sii Poland is seeking an experienced Data Scientist to join a newly formed analytics team and drive predictive modeling, consumer insights and data-driven decisions in a global tobacco industry context.

You will build models, analyze cross-source data and translate analytics into actionable business recommendations, collaborating with marketing and product teams to shape strategy and measure impact on KPIs.

Qualifications

• Minimum 5 years of experience as a Data Scientist.
• Strong SQL proficiency and complex query writing.
• Experience with Python for data analysis and validation.
• Experience handling large datasets and ETL processes.
• Ability to communicate in English in an international environment.

Responsibilities

• Build and optimize predictive models (e.g., churn, propensity, segmentation, CLV, recommendations).
• Analyze consumer and marketing data across multiple sources.
• Model and optimize customer journeys using AI/ML techniques.
• Collaborate with marketing and product teams to define analytical priorities.
• Translate complex analytical findings into clear business recommendations.
• Deliver analytical outputs with actionable usage guidance for business teams.
• Prepare high-quality presentations, reports and data visualizations for non-technical stakeholders.
• Track model performance and measure impact on marketing KPIs and P&L.
• Identify new opportunities for data-driven growth and champion data-based decision-making.

Skills

SQL

Python

Data interpretation

English communication

Reproducibility

Tools

ETL tools

Python libraries

Job description

Sii Poland is seeking an experienced Data Scientist to join a newly formed analytics team and drive predictive modeling, consumer insights and data-driven decisions in a global tobacco industry context.

You will build models, analyze cross-source data and translate analytics into actionable business recommendations, collaborating with marketing and product teams to shape strategy and measure impact on KPIs.