Data Scientist (Junior): AI-Driven Market Insights

Allegro

Warszawa

Hybrid

PLN 180,000 - 280,000

Full time

23 hours ago
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Benefits offered by this job

MacBook Pro or Dell work setup
Cafeteria plan with fringe benefits
English classes offered
Training budget and learning platform
Volunteer day off
Social events and community activities

Job summary

Allegro is seeking a Data Scientist to analyze market dynamics and build ML models that improve product mappings and business insights. You will work with data engineers and cross-functional teams in a hybrid Warsaw-based role.

You will tackle diverse data modalities, experiment with AI agents, and contribute to data-driven decisions across the marketplace. English and Polish fluency are expected as part of daily collaboration.

Qualifications

  • Experience with classical ML/DS methods (regression, classification, clustering, time series).
  • Ability to analyze data and produce actionable insights with SQL and visualizations.
  • Hands-on Python coding with testing and cloud cost awareness.

Responsibilities

  • Develop ML models to monitor and improve product mappings.
  • Create data science projects from concept to production.
  • Work with tabular, text, metadata and time-series data.
  • Build AI agents to detect market trends for partner-support workflows.
  • Collaborate with data engineers, product managers and analysts.

Skills

SQL queries
Python
Data visualization
MLOps
GCP
English
Polish
Communicating insights
Statistical modeling
AI/Agentic AI

Education

Mathematics
Computer Science
Economics
Physics

Tools

BigQuery
VertexAI
Dataflow

Job description

Allegro is seeking a Data Scientist to analyze market dynamics and build ML models that improve product mappings and business insights. You will work with data engineers and cross-functional teams in a hybrid Warsaw-based role.

You will tackle diverse data modalities, experiment with AI agents, and contribute to data-driven decisions across the marketplace. English and Polish fluency are expected as part of daily collaboration.

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