Remote Senior Data Scientist – Predictive ML & Growth

Sii Sp. z o.o.; Toruń; On-site; PLN 200,000 - 280,000; Full time

Benefits offered by this job

Private healthcare

Remote work option

Great Place to Work reputation

Job summary

Sii Sp. z o.o. in Toruń is seeking an experienced Data Scientist with ML to join our analytics team inside a global tobacco industry company. You will build predictive models, analyze consumer and marketing data, and translate insights into actionable business decisions.

Work focuses on customer journeys, segmentation and performance KPIs, collaborating with marketing and product teams to drive data-based decisions. English is used in daily communications.

Qualifications

• Minimum 5 years of experience as a Data Scientist.
• Strong proficiency in SQL with complex queries and large joins.
• Proficiency in Python for data analysis, modeling and validation.
• Experience with large datasets and ETL processes.
• Ability to communicate in English in an international setting.

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 findings into clear business recommendations and actionable guidance.
• Deliver outputs with usage guidance for business teams.
• Prepare high-quality presentations and data visualizations for non-technical stakeholders.
• Track model performance and business impact on KPIs and P&L.
• Identify opportunities for data-driven growth and promote data-based decisions.

Skills

SQL

Python

ETL

Machine Learning

Predictive Models

Tools

Pandas

NumPy

Scikit-learn

Statsmodels

Job description

Sii Sp. z o.o. in Toruń is seeking an experienced Data Scientist with ML to join our analytics team inside a global tobacco industry company. You will build predictive models, analyze consumer and marketing data, and translate insights into actionable business decisions.

Work focuses on customer journeys, segmentation and performance KPIs, collaborating with marketing and product teams to drive data-based decisions. English is used in daily communications.