Data Scientist (AI&Data)
Core
Design and deliver data-driven solutions using classical ML and Generative AI to turn complex enterprise data into actionable insights and intelligent products for global companies.
Role type
Senior Data Scientist (AI & Data)
Builds
Machine learning models, analytical pipelines, and GenAI-augmented solutions (e.g., Text-to-SQL, conversational analytics) for enterprise clients.
Domain
Enterprise Data & Analytics, Generative AI, Cloud Platforms
Deliverable
production ML models
Required skills
Python, SQL, Statistics, Machine Learning, Predictive Modeling, Data Wrangling, Feature Engineering, LLMs/Generative AI, AI-assisted development tools, Cloud platforms (AWS/Azure/GCP)
Preferred skills
NLP solutions, RAG pipelines, Vector databases, MLOps, Experiment tracking, Data visualization, Containerization/API tooling, Responsible AI principles
Technologies
scikit-learn, XGBoost, PyTorch, TensorFlow, MLflow, Weights & Biases, Power BI, Tableau, Streamlit, Docker, FastAPI, Flask, Cursor, Copilot
Responsibilities
Build and deploy ML models solving real business problems at scale; Design and implement advanced analytics pipelines from exploration to production; Leverage GenAI and LLMs to augment workflows; Translate business requirements into data science approaches; Collaborate with engineers and architects on cross-functional teams.
Seniority
Senior, hands-on IC