Data Scientist with ML (f/m/x)

We’re looking for an experienced Data Scientist skilled in building predictive models. You will join a newly formed analytics team, 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.

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 as a Data Scientist
• Strong proficiency in SQL, including writing complex queries, joining large datasets, and preparing data for modeling
• Proficiency in Python, including pandas, numpy, scikit-learn, statsmodels, or similar libraries, with a focus on data analysis, modeling, and result validation
• Experience working with large datasets and ETL processes
• Ability to work with business data and interpret analytical results
• Attention to code quality and reproducibility of analyses
• Effective English communication skills in an international environment

Nice-to-have requirements

• Expertise in marketing and consumer analytics
• Understanding of segmentation models, including clustering, scoring, and customer profiling, and predictive models, including propensity, churn, and LTV
• Basic knowledge of model validation and performance metrics, including AUC, lift, and confusion matrix

What we offer

• Employment stability
• Profit-sharing program
• Attractive benefits package, including private healthcare, a benefits cafeteria platform, car discounts, and more
• Class A offices or remote work
• Projects for prestigious brands from around the world
• Funding for employee ideas, passions, and voluntary actions
• Growth opportunities through meetups, webinars, a training platform, and a technology blog
• Collaborative work atmosphere