Data Scientist

Job Title: Data Scientist

Experience: 6+ Years

Location: Remote

Contract Duration: Short Term

Work Time: IST Shift

We 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 insights

Required 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