Data Scientist - Navigation Specialist

Role Overview

We are seeking Data Scientists with strong foundations in signal processing, sensor fusion, and machine learning for hardware-integrated environments. The role involves close collaboration with quantum sensing, drone engineering, and embedded systems teams to analyze and model multi-sensor datasets including magnetometer, IMU, and UAV telemetry data.

The objective is to develop robust navigation, localization, and anomaly detection systems capable of operating in GPS-denied environments through advanced sensor fusion and physics-informed AI models.

Key Responsibilities :

Sensor Intelligence & Data Fusion

• Design scalable data ingestion, preprocessing, and cleaning pipelines for magnetometer, IMU, and UAV telemetry streams.
• Develop physics-informed machine learning models for trajectory estimation, drift correction, and anomaly detection.
• Implement sensor fusion algorithms including Kalman Filters, Particle Filters, and deep learning architectures (LSTM, Transformer, Graph-based models).
• Integrate magnetic, inertial, and positional data to enable robust localization in GPS-denied environments.
• Apply signal processing techniques to extract meaningful patterns from noisy sensor data.

Analytics & Visualization

• Generate magnetic anomaly maps and geospatial heatmaps from airborne and terrestrial survey datasets.
• Perform statistical analysis, clustering, and signal denoising to identify spatial and temporal patterns.
• Build internal visualization tools and dashboards for real-time monitoring, data interpretation, and mission replay.

Collaboration & Deployment

• Work closely with hardware and firmware engineers to define data interfaces and synchronization standards for live acquisition.
• Participate in field testing, calibration campaigns, and post-mission validation of collected sensor data.
• Document algorithms, experimental results, and contribute to technical proposals, research publications, and intellectual property filings.

Ideal Candidate Profile

• B.Tech / M.Tech / Ph.D. in Data Science, Physics, Electrical Engineering, Computer Engineering, Robotics, or Applied Mathematics.
• 28 years of experience in multi-sensor data analytics, robotics, autonomous systems, or scientific machine learning.
• Strong programming skills in Python, including experience with NumPy, Pandas, PyTorch/TensorFlow, and Scikit-learn.
• Solid understanding of signal processing techniques (Fourier transforms, wavelet analysis, filtering, and noise modeling).
• Experience working with time-series data and probabilistic modeling.
• Familiarity with Kalman filtering, Bayesian estimation, and sensor fusion algorithms.
• Experience with geospatial data tools such as GeoPandas, QGIS, or rasterio.

Experience working with UAV telemetry, inertial navigation data, or magnetic field mapping is highly desirable.

Preferred Qualifications

• Experience deploying edge AI models using tools such as TensorRT, ONNX, or NVIDIA Jetson platforms.
• Exposure to defense, aerospace, or geophysical sensing datasets.
• Familiarity with robotics frameworks such as ROS or simulation environments like Gazebo.
• Understanding of drone dynamics, navigation systems, and embedded ML inference pipelines.

What We Offer

• Opportunity to work on next-generation sensing and navigation technologies combining AI and advanced hardware systems.
• Collaboration with a multidisciplinary R&D team including physicists, engineers, and AI researchers.
• Access to high-fidelity sensor datasets and advanced hardware platforms.
• Competitive compensation, performance incentives, and opportunities for intellectual property participation.