Senior Data Scientist — Marketing Analytics & Growth

Sii Poland; Toruń; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Great Place to Work

Center of internal trainings

Profit sharing

Medical care

Open and accessible management team

Job summary

Sii Poland is seeking an experienced Data Scientist to join a newly formed analytics team inside a leading global company in the tobacco industry. You will focus on predictive modeling, consumer insights and translating analytics into business decisions.

If you want your models to truly 'move the needle', this role is for you. The role involves building models for churn, propensity, segmentation and CLV, analyzing marketing data, and delivering clear recommendations and data visualizations to

Qualifications

• 5+ years of experience as a Data Scientist.
• Strong SQL skills for complex queries and data prep.
• Python expertise for data analysis and model validation.
• Experience with large datasets and ETL pipelines.

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.

Skills

Data analysis

Analytical thinking

English communication

Tools

SQL

Python (pandas, numpy, scikit-learn)

ETL processes

Job description

Sii Poland is seeking an experienced Data Scientist to join a newly formed analytics team inside a leading global company in the tobacco industry. You will focus on predictive modeling, consumer insights and translating analytics into business decisions.

If you want your models to truly 'move the needle', this role is for you. The role involves building models for churn, propensity, segmentation and CLV, analyzing marketing data, and delivering clear recommendations and data visualizations to