Data Scientist — Predictive Marketing Analytics & Growth

Sii Poland; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Centre of internal trainings

Open and accessible management team

Job summary

Sii Poland invites 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.

You will work on models that move the needle, collaborate with marketing and product teams, and present clear, data-driven recommendations to non-technical stakeholders.

Qualifications

• 5+ years as a Data Scientist
• SQL proficiency for complex queries
• Python for analysis, modeling and validation
• Experience with 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 business impact on marketing KPIs and P&L
• Identify new opportunities for data-driven growth and champion data-based decision-making across the organization

Skills

SQL

Python

ETL

Data analysis

English

Job description

Sii Poland invites 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.

You will work on models that move the needle, collaborate with marketing and product teams, and present clear, data-driven recommendations to non-technical stakeholders.