Job Title

Job Title: Data ScientistExperience: 6+ YearsLocation: RemoteContract Duration: Short TermWork Time: IST ShiftJob DescriptionWe are seeking an experienced Data Scientist with over 6 years of expertise in analyzing large-scale, real-world datasets, particularly from autonomous fleets, commercial trucks, or connected vehicles. The candidate should be adept in analytical thinking, modeling, and applying machine learning to derive actionable insights from multi-modal vehicular data.Roles and Responsibilities• Analyze high-volume sensor and telemetry data (GPS, CAN, LiDAR, camera, IMU, radar) from truck fleets• Build machine learning and statistical models for anomaly detection, failure prediction, routing optimization, and driver behavior analysis• Collaborate with cross-functional teams to enhance autonomy performance and operational efficiency• Develop pipelines for cleaning, processing, and transforming structured and unstructured vehicle data• Apply time-series analysis, clustering, and predictive modeling on vehicle and driving patterns• Create dashboards and tools for data visualization aimed at business and product decision-making• Translate complex data findings into clear and actionable business and engineering insightsRequired Skills and Qualifications• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field• Minimum 6 years of hands-on experience in data science and analytics• Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch• Experience with big data platforms like Spark and cloud services (AWS/GCP)• Strong knowledge in time-series data, signal processing, and spatiotemporal machine learning• Experience working with connected vehicle data or autonomous truck telemetry• Familiarity with vehicle dynamics, CAN data decoding, or driver behavior modeling• Skilled in SQL and data visualization tools (Tableau, PowerBI, Plotly)Preferred Skills• Hands-on experience with deep learning frameworks (PyTorch, TensorFlow)• Expertise in time-series or geospatial data analysis• Exposure to big data tools such as Spark, Hadoop, and NoSQL databases• Experience with Docker, CI/CD, and version control tools• Background in autonomous systems, IoT, or mobility analytics• Knowledge of autonomous driving stacks and sensor fusion• Familiarity with edge AI deployment or model compression techniques