Data Scientist (all genders)

Requirements

What you'll need

• University degree (preferably Master's) in Economics, Computer Science, or a STEM-related field
• 4-5 years of professional experience as a Data Scientist or ML Engineer
• Solid understanding of Python, SQL and core data science libraries
• Familiarity with BI tools
• Proficiency with Databricks or similar lakehouse/notebook platforms
• Ability to select and justify modeling approaches based on data characteristics, business constraints and interpretability requirements
• Understanding of model performance trade-offs and hyperparameter tuning
• Experience with feature engineering, data cleaning and managing data leakage and overfitting
• Experience with constrained optimization models
• Experience building RAG pipelines or integrating LLMs into production workflows
• At least 2-3 years of experience with MLOps practices and experiment tracking
• Experience working with at least one cloud platform

What you'll bring

• Curiosity to dig into unfamiliar business domains and ask "why"
• A bias toward pragmatic solutions
• Comfort navigating ambiguity
• Ownership of data quality