Senior Data Scientist: Predictive Analytics for Growth

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

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Internal trainings

Centre of internal trainings

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, focusing on predictive modeling, consumer insights, and translating analytics into actionable business decisions.

You will work on churn, propensity, segmentation, CLV, and guidance for marketing performance, collaborating with marketing and product teams and presenting findings to non-technical stakeholders.

Qualifications

• 5+ years of experience as a Data Scientist.
• Ability to write complex SQL queries and prepare data for modeling.
• Proficiency in Python for data analysis, modeling, and validation.
• Experience with large datasets and ETL processes.
• Ability to communicate effectively in English in an international environment.

Responsibilities

• Build and optimize predictive models (e.g., churn, propensity, segmentation, CLV).
• 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 findings into clear business recommendations.
• Deliver analytical outputs with actionable usage guidance for business teams.
• Prepare high-quality presentations and data visualizations for non-technical stakeholders.
• Track model performance and measure impact on marketing KPIs and P&L.
• Identify opportunities for data-driven growth and advocate data-based decisions.

Skills

Data interpretation

English communication

Code quality

Tools

SQL

Python

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, focusing on predictive modeling, consumer insights, and translating analytics into actionable business decisions.

You will work on churn, propensity, segmentation, CLV, and guidance for marketing performance, collaborating with marketing and product teams and presenting findings to non-technical stakeholders.