Data Scientist With ML (f/m/x)

24 октября 2026 г.

Senior

Warsaw, Poland

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Английский обязателен
Проект связан с табачной индустрией

Описание

An experienced Data Scientist is sought for a newly formed analytics team inside a leading global company in the tobacco industry, where data is expected to shape consumer strategy and marketing performance. The focus is predictive modelling — churn, propensity, segmentation, CLV and recommendations — built on consumer and marketing data from multiple sources. The role also covers customer-journey optimisation with AI/ML, stakeholder-facing visualisation and impact tracking on marketing KPIs and P&L. Full-time position based in Warsaw, Poland.

Гендерные маркеры в названии (f/m/x)

В соответствии с европейским законодательством о недискриминации вакансия открыта для всех кандидатов

Fженский пол

Mмужской пол

Xиной пол

Обязанности

Build and optimize predictive models such as churn, propensity, segmentation, CLV and 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

Требования

Minimum 5 years of experience as a Data Scientist
Strong SQL proficiency: complex queries, joins of large datasets and data preparation for modelling
Python proficiency with pandas, numpy, scikit-learn, statsmodels or similar for analysis, modelling 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
Ability to communicate effectively in English in an international environment
Nice to have: expertise in the marketing and consumer analytics domain
Nice to have: understanding of segmentation models — clustering, scoring, customer profiling
Nice to have: knowledge of predictive models such as propensity, churn and LTV
Nice to have: basic knowledge of model validation and performance metrics (AUC, lift, confusion matrix)

Условия

Full-time employment
Profit sharing
Medical care
Regular integration events and trips
Comfortable and well-equipped offices
Centre of internal trainings and many experts to learn from
Open and accessible management team
Passion Sponsorship program
Projects with the biggest brands
MySii app
Great Place to Work certified workplace
Solid financial situation of the company

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