Senior Data Scientist: Predictive ML & Growth (Remote)

Sii Sp. z o.o.

Katowice

On-site

PLN 180,000 - 320,000

Full time

14 days+
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Benefits offered by this job

Great Place to Work
Private healthcare
Benefits cafeteria
Remote work
Class A offices

Job summary

Sii Sp. z o.o. w Katowicach poszukuje doświadczonego Data Scientist z ML (f/m/x).

Dołączysz do nowo tworzonego zespołu analitycznego w globalnej firmie z branży tytoniowej, kształtując sposób wykorzystywania danych do strategii konsumenckiej i wyników marketingowych. Twoje zadania obejmą budowę i optymalizację modeli predykcyjnych, analizę danych marketingowych i przekładanie wyników na decyzje biznesowe. Wymagana jest min.

Qualifications

  • Minimum 5 years of experience as a Data Scientist.
  • Strong proficiency in SQL - write complex queries and prepare data for modeling.
  • Proficiency in Python with data analysis libraries (pandas, numpy, scikit-learn, statsmodels).
  • Experience with large datasets and ETL processes.
  • Ability to communicate effectively in English in an international environment.

Responsibilities

  • 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 analytical findings into clear business recommendations.
  • Deliver outputs with actionable usage guidance for business teams.
  • Prepare presentations and data visualizations for non-technical stakeholders.
  • Track model performance and measure business impact on marketing KPIs and P&L.
  • Identify opportunities for data-driven growth and promote data-based decisions.

Skills

SQL
Python
ETL
Machine Learning
Predictive Models

Tools

Pandas
NumPy
Scikit-learn
Statsmodels

Job description

Sii Sp. z o.o. w Katowicach poszukuje doświadczonego Data Scientist z ML (f/m/x).

Dołączysz do nowo tworzonego zespołu analitycznego w globalnej firmie z branży tytoniowej, kształtując sposób wykorzystywania danych do strategii konsumenckiej i wyników marketingowych. Twoje zadania obejmą budowę i optymalizację modeli predykcyjnych, analizę danych marketingowych i przekładanie wyników na decyzje biznesowe. Wymagana jest min.

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