Lead Data Scientist

Data scientist lead will have a dynamic team of data scientists and engineers on cutting-edge projects spanning operations, manufacturing, supply chain, finance, and HR.

Years of experience- 10- 15 years

Location-Gurugram

Responsibilities

• Creating high-frequency forecasting models
• Building optimization frameworks
• Developing defect identification systems for renewable energy technologies
• Creating AI-driven applications that redefine traditional workflows

Required Skills

• Product Management: Product Lifecycle, Agile Scrum, Strategic Planning, Cross-functional Leadership, Process Optimization, OKRs, KPI Analysis, Stakeholder Management
• Technical Skills: Python (NumPy, Pandas, Scikit-learn, Keras, TensorFlow, CNN, RNN, NLTK, BERT, YOLO, OpenAI, LangChain, LLMs, RAG, GANs), Data Visualization (PowerBI, Tableau, Grafana), Databases (SQL, PySpark, MongoDB, ADLS Gen2, AWS S3), SAP, Streamlit
• Cloud & DevOps: Azure, GCP, AWS, Databricks, Terraform, Kubernetes, Cloud Functions, AWS Lambda
• MLOps & Deployment: MLflow, AutoML, TensorFlow Serving, Docker, Kubernetes, FastAPI, Flask, GitHub, GitLab, Azure DevOps, Function Apps, Logic Apps, APIs
• Big Data & Analytics: Hadoop, Spark, Kafka, Generative AI, Image Classification & Segmentation, NLP, Optimization, Neural Networks, Forecasting, Classification, Clustering, Regression, Web Scraping
• Project Management: Jira, Azure Boards, Confluence, Trello, Monday.com