Data Scientist

📋 Description

• Data analysis and exploration of structured/unstructured data to find insights.
• Build, evaluate, and deploy predictive ML models.
• Design and analyze A/B tests and experiments.
• Translate analytics into actionable business recommendations.
• Collaborate with data engineers and engineers to productionize ML pipelines.
• Stay current with ML methods and tools to improve workflows.

🎯 Requirements

• Vector databases, RAG, or embedding pipelines.
• Privacy-preserving ML, federated learning, or RL.
• Large-scale models (LLMs) or multi-modal AI.
• Experiment design and causal inference.
• Big data tools: Spark, Hive, Snowflake.
• NLP, time series forecasting, or recommender systems.
• Python and data science libraries (pandas, NumPy, scikit-learn, etc.) or R.

🎁 Benefits

• Global, diverse team with learning opportunities.
• Inclusive culture and strong collaboration.
• Access to leading-edge technologies and projects.