Data Scientist - Sensor Fusion & Geospatial Analytics (Quantum Navigation)

• About the Role

We are seeking Data Scientists with strong foundations in signal processing, sensor fusion, and AI/ML modeling for real-world hardware-integrated environments. The ideal candidate will collaborate closely with quantum hardware and drone engineering teams to analyze, model, and fuse magnetometer, IMU, and UAV telemetry data for precision navigation and anomaly detection. You will design and implement data pipelines, fusion models, and inference architectures that translate complex multi-sensor datasets into actionable insights and control strategies.

What You'll Do

Sensor Intelligence & Data Fusion

• Build scalable data ingestion, preprocessing, and cleaning pipelines for magnetometer, IMU, and UAV telemetry data.
• Develop and train physics-informed ML models for trajectory estimation, drift correction, and anomaly detection.
• Implement Kalman/Particle filters and deep sensor fusion frameworks (LSTM, Transformer, or Graph-based).
• Fuse magnetic, inertial, and positional data to achieve robust localization under GPS- denied conditions.

Geospatial Analytics & Visualization

• Generate magnetic anomaly maps and heatmaps from airborne and terrestrial survey data.
• Apply statistical analysis, clustering, and signal denoising to extract spatial patterns.
• Build internal visual dashboards for real-time data interpretation and mission replay.

Collaboration & Deployment

• Work with hardware engineers to design data interfaces and synchronization standards for live acquisition.
• Participate in field calibration, testing, and post-mission data validation.
• Document algorithms, results, and contribute to proposal writing and IP filings.

Ideal Candidate Profile

• B.Tech / M.Tech / Ph.D. in Data Science, Physics, Electrical/Computer Engineering, or Applied Mathematics.
• 2–8 years of experience in multi-sensor data analytics, robotics, or scientific ML.
• Proven expertise in Python, NumPy/Pandas, PyTorch/TensorFlow, Scikit-learn.
• Strong grasp of signal processing (Fourier/wavelet transforms) and noise modeling.
• Experience with geospatial tools (GeoPandas, QGIS, rasterio) and sensor fusion frameworks.
• Familiarity with Kalman filtering, Bayesian statistics, and time-series modeling.
• Prior work involving UAV telemetry, inertial data, or magnetic field mapping preferred.

Preferred Skills (Bonus)

• Experience with edge AI model deployment (TensorRT, ONNX, Jetson).

• Exposure to defense or aerospace datasets.

• Familiarity with ROS, Gazebo, or robotics simulation environments.

• Knowledge of drone dynamics, control systems, or embedded ML inference.

What We Offer

• Opportunity to pioneer AI-driven quantum sensing and navigation technologies in India.

• Work alongside a multidisciplinary R&D team of physicists, engineers, and AI researchers. • Access to cutting-edge datasets and hardware infrastructure.

• Competitive compensation, milestone bonuses, and IP participation opportunities.