Senior Data Scientist: AI, GenAI & ML (Hybrid)

Allegro Ltd.

Warszawa

On-site

PLN 163,000 - 232,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model (4/1)
Discretionary incentive plan with RSUs
Annual performance bonus
Modern offices and tools
MacBook Pro or Dell laptops
Fringe benefits cafeteria plan
English classes
Training budget
Volunteer day
Social events

Job summary

Allegro Ltd. is seeking a seasoned Data Scientist in Warsaw to drive ML initiatives for one of Poland’s largest eCommerce platforms.

You will build and deploy end-to-end models, spanning search, recommendations and fraud detection, handling terabytes of data in batch and streaming pipelines on Google Cloud. Requirements include production ML and SQL experience, a business-first problem solving approach, strong Python coding, and fluency in Polish and English (B2).

Qualifications

  • Proven record deploying ML models in production.
  • Ability to translate business questions into ML problems.
  • Excellent communication bridging business and analytics.

Responsibilities

  • Lead ML projects from concept to productization.
  • Work with diverse modeling techniques including deep learning and generative AI.
  • Process large datasets on Google Cloud.
  • Implement offline and online models.
  • Collaborate with business, analytics and data engineering teams.
  • Mentor peers and share knowledge.

Skills

Production ML experience
SQL
Business-focused problem solving
Python
Software engineering fundamentals
Statistics & ML fundamentals
Generative AI & Agentic workflows
Quantitative degree background
Polish & English (B2)

Education

Mathematics, Physics, CS, Economics or related

Tools

Python
Google Cloud Platform
Kubernetes
Docker
GitHub Actions
Copilot / AI tooling

Job description

Allegro Ltd. is seeking a seasoned Data Scientist in Warsaw to drive ML initiatives for one of Poland’s largest eCommerce platforms.

You will build and deploy end-to-end models, spanning search, recommendations and fraud detection, handling terabytes of data in batch and streaming pipelines on Google Cloud. Requirements include production ML and SQL experience, a business-first problem solving approach, strong Python coding, and fluency in Polish and English (B2).

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