Data Analytics Engineer

About MBRDI:

Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.

Role Overview

We are seeking a skilled Data Analyst with strong automotive analytics expertise to support our ADAS development, validation, and continuous improvement initiatives.

The role involves analyzing large-scale vehicle datasets, driver behaviour insights, sensor performance logs, and algorithm outputs to deliver actionable insights for engineering, calibration, and safety teams.

Key Responsibilities

• Analyze ADAS sensor data (camera, radar, lidar, ultrasonic), vehicle dynamics, and ECU log data to identify patterns, anomalies, and performance trends.
• Work with engineering teams to understand ADAS algorithm behaviour, KPI definitions, and performance metrics.
• Support model validation by generating statistical reports, performance summaries, and scenario-based evaluations.
• Build dashboards, data visualizations, and automated reporting pipelines for engineering and program teams.
• Clean, preprocess, and transform large datasets using Python, SQL, or cloud-based tools.
• Perform root-cause analysis of ADAS feature performance issues—false detections, missed detections, driver intervention events, etc.
• Collaborate with software, systems, and calibration engineers to refine feature KPIs and data requirements.
• Support scenario extraction, annotation reviews, and dataset quality checks.
• Work on continuous improvement of ADAS performance across markets, driving conditions, and environmental factors.
• Document findings, insights, and recommendations in clear technical reports.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Engineering, Computer Science, Automotive Engineering, Data Science, or equivalent.
• Strong experience in Python, NumPy, Pandas, Matplotlib/Plotly, Jupyter.
• Hands-on experience with SQL and cloud data platforms (AWS/GCP/Azure preferred).
• Good understanding of ADAS functions such as: ACC, AEB, LDW/LKA, BSD, CTA, Park Assist, TJA, Highway Assist, etc.
• Familiarity with CAN, LIN, automotive diagnostics, log formats (MDF, ROS bags, ARXML).
• Exposure to vehicle dynamics, sensor fusion concepts, machine learning pipeline basics.
• Experience with visualization tools such as Power BI / Tableau.
• Strong analytical, problem-solving, and communication skills.

Preferred / Nice-to-Have Skills

• Experience with sensor data tools (Vector CANape/CANalyzer, dSPACE, OxTS, Mobileye logs, etc.).
• Understanding of ISO 26262, SOTIF, and automotive safety standards.
• Familiarity with AI/ML applications in automotive.
• Experience working with ADAS test vehicles, simulation tools, or proving grounds.
• Soft Skills
• Strong ownership mindset and ability to work in cross-functional teams.
• Detail-oriented with a passion for data-driven engineering.
• Ability to break down complex engineering problems into simple insights.

Qualifications -

• Bachelor’s/Master’s degree in Engineering, Computer Science, Automotive Engineering, Data Science, or equivalent.

Why Join Us?

• Be part of a purpose-driven organization that’s shaping the future of mobility.
• Work on cutting-edge technologies and global projects.
• Thrive in a collaborative, diverse, and inclusive environment.
• Access world-class infrastructure and learning opportunities.

Equal Opportunity Statement:

At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability.