ML-Powered Data Scientist for Marketing Analytics

Sii Poland

Piła

On-site

PLN 180,000 - 260,000

Full time

9 days ago

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Benefits offered by this job

Great places to work
Solid finances
Big-brand contracts
Internal trainings
Mentor network
Open management
Profit sharing
Sponsorship program
Team events and trips
Modern offices
MySii app
Medical care

Job summary

Sii Poland is seeking an experienced Data Scientist to join a newly formed analytics team and drive predictive modeling, consumer insights, and data-driven marketing decisions. You will translate analytics into actionable business guidance and work with cross-functional teams to set analytical priorities.

Ideal candidates have 5+ years in data science, strong SQL and Python skills, experience with ETL, and the ability to communicate results clearly in English.

Qualifications

  • At least 5 years of experience as a Data Scientist.
  • Strong SQL skills with complex queries and large datasets.
  • Proficient in Python (pandas, numpy, scikit-learn, etc.).
  • Experience with large datasets and ETL processes.
  • Ability to interpret analytics and communicate in English.

Responsibilities

  • Build and optimize predictive models (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 actionable business recommendations.

Skills

SQL
Python
ETL processes
Data interpretation
English communication

Tools

ETL tools

Job description

Sii Poland is seeking an experienced Data Scientist to join a newly formed analytics team and drive predictive modeling, consumer insights, and data-driven marketing decisions. You will translate analytics into actionable business guidance and work with cross-functional teams to set analytical priorities.

Ideal candidates have 5+ years in data science, strong SQL and Python skills, experience with ETL, and the ability to communicate results clearly in English.

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