Data Scientist – Marketing / Consumer Analytics

We’re looking for a Data Scientist who turns data into real business results — not just builds models. You will join a newly formed analytics team inside a leading global company in the tobacco industry, shaping how data drives consumer strategy and marketing performance. Your work will focus on predictive modeling, consumer insights, and translating analytics into actionable business decisions. If you want your models to truly ‘move the needle’, this role is for you.

Your tasks

• 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 together 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

  
  

Requirements

• Minimum 5 years of experience in Data Science domain in a marketing context

• Strong proficiency in SQL – ability to write complex queries, join large datasets, and prepare data for modeling

• Proficiency in Python (libraries such as pandas, numpy, scikit-learn, statsmodels, or similar) – focus on data analysis, modeling, and result validation

• Proven expertise in consumer data modelling and analysis

• Good understanding of segmentation models (clustering, scoring, customer profiling) and predictive models (propensity, churn, LTV)

• Experience working with large datasets and ETL processes

• Basic knowledge of model validation and performance metrics (AUC, lift, confusion matrix)

• Ability to work with business data and interpret analytical results

• Attention to code quality and reproducibility of analyses

• Fluent Polish required

• Residing in Poland required