Data Scientist (GenAI)

Quick Facts

• Role: Data Scientist (GenAI)
• Focus: ML models for production data + GenAI conversational access to data
• Experience: 2+ years
• Work: Remote

Description

Build and deploy machine-learning models on manufacturing/production data to detect anomalies, analyze losses, and generate recommendations for production. You’ll prepare data (including feature engineering), train/validate models, implement them in production, and monitor performance. In the next phase, you’ll help introduce a GenAI layer for conversational access to data using language models.

Responsibilities

• Analyze and prepare data, perform feature engineering
• Build, train, and validate ML models (e.g., anomaly detection and predictive models)
• Deploy models to production and monitor them
• Translate business needs into technical solutions
• Collaborate with Data Engineers building the analytics platform

Requirements

• 2+ years of commercial experience in ML/Data Science
• Very good knowledge of Python and SQL
• Experience with scikit-learn, XGBoost, and pandas
• Strong knowledge of model validation (overfitting, data leakage)
• Experience with Databricks or Spark/PySpark
• English for comfortable technical communication

Benefits

• Employment contract (employment contract via Experis)
• 2-year project with potential extension
• Remote work
• Medicover medical package
• Multisport card
• Group life insurance