Data Scientist

About the role

We are seeking a Data Scientist to join our data science and engineering teams. You will develop, optimize, and deploy machine learning models across on‑premises and cloud environments, ensuring they meet performance and reliability standards.

Key responsibilities

• Collaborate with data science and engineering teams to build and deploy ML models.
• Oversee the full ML lifecycle from data preparation and feature engineering to deployment and monitoring.
• Prepare, clean, and transform data for training and inference.
• Ensure scalability, reliability, and performance of models in production.
• Monitor deployed models, implement updates, and troubleshoot issues.
• Design and maintain efficient machine‑learning pipelines.
• Translate analytical findings into clear recommendations for stakeholders.
• Apply responsible AI practices, addressing bias, fairness, and data‑privacy concerns.

Required profile

• Bachelor’s degree in a quantitative discipline (e.g., Data Science, Statistics, Computer Science).
• 2–4+ years of experience with the full ML/AI lifecycle.
• Strong proficiency in Python, SQL, and experience with AWS or Databricks environments.
• Excellent communication skills to explain complex concepts to diverse audiences.
• Exposure to Generative AI or large language models and an understanding of responsible AI principles.

Required skills

• Python
• SQL
• AWS
• Databricks
• Git (version control)
• CI/CD pipelines for ML model deployment
• Generative AI
• LLMOps
• RAG (Retrieval‑Augmented Generation)
• Agentic AI