About Gradera — Digital Twin & Physical AI Platform

At Gradera, we are building a next-generation Digital Twin and Physical AI platform that enables enterprises to model, simulate, and optimize complex real-world systems. Our work brings together strategy, architecture, data, simulation, and experience design to power decision-making across large-scale operational settings such as manufacturing, logistics, and supply chain networks.

This platform-led initiative applies AI-native execution, advanced simulation, and governed orchestration to help organizations test scenarios, predict outcomes, and continuously improve performance. We operate with an enterprise-first mindset prioritizing reliability, transparency, and measurable business impact as we build intelligent systems that scale beyond a single industry or use case.

Data Scientist

Overview

We are seeking a versatile Data Scientist to join our Simulation & Scenario Enablement team. This is a high-impact role combining advanced machine learning, statistical modeling,



and exploratory data analysis to power digital twin simulations and scenario planning capabilities. You will transform complex operational data into actionable insights, build predictive models that drive simulation accuracy, and develop surrogate models that enable real-time what-if analysis. This role spans the full analytics spectrum — from deep-dive EDA and hypothesis testing to production ML models integrated with physics-based simulations.

Our core data science stack includes:
Machine Learning & MLOps
Databricks ML for end-to-end model development and deployment
MLflow for experiment tracking, model registry, and deployment
Feature Store for feature engineering and management
Unity Catalog for ML asset governance

Analytics & Exploration
Databricks SQL and Notebooks for interactive analysis
PySpark for large-scale data processing
Python (pandas, NumPy, scikit-learn, SciPy) for statistical analysis
Visualization librari

📌 Data Scientist Hyderabad (India)
🏢 Gradera
📍 India