Data Scientist with ML (f/m/x)
⚲ Warszawa, Białystok, Bydgoszcz, Kraków, Gdańsk, Katowice, Lublin, Łódź, Wrocław, Poznań
Do uzgodnienia
Wymagania
- Python
- SQL
- Pandas
- Predictive Models
- statsmodels
- NumPy
- scikit-learn
- ETL
- Machine Learning
Opis stanowiska
We’re looking for an experienced Data Scientist skilled in building predictive 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.
Sii ensures that all employment-related decisions are made solely on the basis of qualifications, competencies, and performance. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promote a diverse and inclusive work environment.
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 – 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
• 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 requirements
• Expertise in the marketing and consumer analytics domain
• Good understanding of segmentation models (clustering, scoring, customer profiling) and predictive models (propensity, churn, LTV)
• Basic knowledge of model validation and performance metrics (AUC, lift, confusion matrix)
Sii ensures that all employment-related decisions are made solely on the basis of qualifications, competencies, and performance. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promote a diverse and inclusive work environment.
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 – 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
• 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 requirements
• Expertise in the marketing and consumer analytics domain
• Good understanding of segmentation models (clustering, scoring, customer profiling) and predictive models (propensity, churn, LTV)
• Basic knowledge of model validation and performance metrics (AUC, lift, confusion matrix)
🔍 Dekoder Ogłoszenia
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newly formed analytics team
Zespół jest nowy, co może oznaczać brak ugruntowanych procesów i potrzebę budowania wszystkiego od podstaw.
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shaping how data drives consumer strategy and marketing performance
Twoje modele będą miały realny wpływ na strategię firmy, ale też mogą być pod presją osiągania konkretnych wyników biznesowych.
🔴
If you want your models to truly ‘move the needle’
Oczekuje się, że Twoja praca przyniesie mierzalne i znaczące rezultaty biznesowe, co może oznaczać dużą presję na wyniki.
🔴
collaborate with marketing and product teams to define analytical priorities
Możesz spotkać się z priorytetami biznesowymi, które nie zawsze będą zgodne z technicznymi możliwościami lub Twoimi preferencjami analitycznymi.
🟡
champion data-based decision-making across
Będziesz musiał aktywnie przekonywać innych do wykorzystania danych, co może oznaczać potrzebę edukowania i wpływania na kulturę organizacyjną.