Data Science Specialist

Exp: 8 To 13 Yrs

• Processing and analyzing complex automotive sensor data to improve driving and parking functions.
• Deep understanding of sensors (Camera fundamentals, Radar, LiDAR, IMU, Thermal), strong calibration knowledge, and 3D geometry.
• Utilizing GCP services (BigQuery, Vertex AI, Dataflow, Cloud Run) to build robust data and ML pipelines for large-scale datasets.
• The ability to collaborate with development teams to ensure smooth, efficient, and high-quality software delivery.

Responsibilities

• Develop, train, and deploy ML models (classification, regression, clustering) for vehicle behavior analysis and sensor error detection.
• Perform advanced data analysis on multi-modal sensor data (Camera, LiDAR, Radar, IMU, Thermal) using Python, Pandas, and Scikit-learn.
• Build and maintain scalable data and ML pipelines on GCP (e.g., BigQuery, Vertex AI) to handle automotive datasets.
• Apply model evaluation techniques (precision, recall, ROC, confusion matrix) to ensure robust performance.
• Research and implement sensor calibration and anomaly detection algorithms.
• Lead data science projects from conception to deployment, providing technical mentorship to team members.
• Design and implement state-of-the-art Computer Vision algorithms for object detection, semantic segmentation, and tracking.
• Develop advanced image processing techniques to enhance sensor data quality and robustness under diverse environmental conditions.
• Apply strong calibration knowledge and 3D geometry principles to sensor data processing and computer vision tasks.

Required Skills & Experience:

• Hands-on experience in Data Science preferably in automotive domain
• Data Analysis & CV: OpenCV, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Matplotlib, Plotly.
• Machine Learning: Classification, regression, clustering, anomaly detection.
• Model Evaluation: Precision, recall, ROC, confusion matrix.
• Automotive Domain: Deep understanding of sensors (Camera fundamentals, Radar, LiDAR, IMU, Thermal), strong calibration knowledge, and 3D geometry.
• GCP Data Engineering: Expertise in GCP services such as BigQuery, Vertex AI, Dataflow, Cloud Run, and Pub/Sub for data pipelines.
• Excellent communication and collaboration skills.
• Leadership: Proven experience in team leadership, mentoring, and project management in a technical environment.