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

Role Overview: As a Data Scientist at our company, you will be responsible for utilizing your expertise in signal processing, sensor fusion, and AI/ML modeling to support real-world hardware-integrated environments. Collaborating closely with quantum hardware and drone engineering teams, you will analyze, model, and fuse magnetometer, IMU, and UAV telemetry data for precision navigation and anomaly detection. Your role will involve designing and implementing data pipelines, fusion models, and inference architectures to translate complex multi-sensor datasets into actionable insights and control strategies. Key Responsibilities: - 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. - 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. - 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. Qualifications Required: - B.Tech / M.Tech / Ph.D. in Data Science, Physics, Electrical/Computer Engineering, or Applied Mathematics. - 28 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. Company Details: Our company offers you the prospect to pioneer AI-driven quantum sensing and navigation technologies in India. You will have the opportunity to work alongside a multidisciplinary R&D team of physicists, engineers, and AI researchers, with access to cutting-edge datasets and hardware infrastructure. We provide competitive compensation, milestone bonuses, and IP participation opportunities. Role Overview: As a Data Scientist at our company, you will be responsible for utilizing your expertise in signal processing, sensor fusion, and AI/ML modeling to support real-world hardware-integrated environments. Collaborating closely with quantum hardware and drone engineering teams, you will analyze, model, and fuse magnetometer, IMU, and UAV telemetry data for precision navigation and anomaly detection. Your role will involve designing and implementing data pipelines, fusion models, and inference architectures to translate complex multi-sensor datasets into actionable insights and control strategies. Key Responsibilities: - 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. - 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. - 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. Qualifications Required: - B.Tech / M.Tech / Ph.D. in Data Science, Physics, Electrical/Computer Engineering, or Applied Mathematics. - 28 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. Company Details: Our company offers y