Data Scientist – Marketing Consumer Analytics
4 tygodni temu
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
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