Senior Data Scientist - Predictive Marketing Analytics

Sii Poland; Łódź; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Office in Łódź

Job summary

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

Responsibilities include building predictive models, analyzing data from multiple sources, collaborating with marketing and product teams, and delivering clear business recommendations to non-technical

Qualifications

• 5+ years of experience as a Data Scientist.
• Proficiency in SQL – write complex queries and prep data for modeling.
• Proficiency in Python (pandas, numpy, scikit-learn, etc.).
• Experience with large datasets and ETL processes.
• Ability to translate analyses into business recommendations and communicate in English.

Responsibilities

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

Skills

SQL

Python

ETL

Business data interpretation

English communication

Job description

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

Responsibilities include building predictive models, analyzing data from multiple sources, collaborating with marketing and product teams, and delivering clear business recommendations to non-technical