Mercedes-Benz Research and Development India
Automotive
DataAnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analytics Engineer at Mercedes-Benz Research and Development India. Skills: ADAS data analysis, Vehicle data analysis, Data visualization, Data pipelines. Analyze ADAS sensor data. Analyze vehicle dynamics data”
What You'll Achieve.
Improve ADAS performance
Industry & Context.
Problem-solving; Root-cause analysis
What They're Looking For.
Must Have
Bachelor's/Master's degree, Python experience, NumPy experience, Pandas experience, Matplotlib/Plotly experience, Jupyter experience, SQL experience, Cloud data platforms experience, ADAS functions understanding, CAN familiarity, LIN familiarity, Automotive diagnostics familiarity, Log formats familiarity, Vehicle dynamics exposure, Sensor fusion concepts exposure, ML pipeline basics exposure, Power BI/Tableau experience, Analytical skills, Problem-solving skills, Communication skills
Nice to Have
Sensor data tools experience, ISO 26262 understanding, SOTIF understanding, Automotive safety standards understanding, AI/ML automotive applications familiarity, ADAS test vehicles experience, Simulation tools experience, Proving grounds experience
What You'll Do.
Analyze ADAS sensor data
Analyze vehicle dynamics data
Identify performance trends
Understand ADAS algorithm behaviour
Understand KPI definitions
Understand performance metrics
Support model validation
Generate statistical reports
Generate performance summaries
Perform scenario-based evaluations
Build data visualizations
Build automated reporting pipelines
Perform root-cause analysis
Collaborate with engineers
Refine data requirements
Support scenario extraction
Support annotation reviews
Support dataset quality checks
Improve ADAS performance
Document recommendations
How You'll Work.
Team & Collaboration
Work with engineering teams; Collaborate with software engineers; Collaborate with systems engineers; Collaborate with calibration engineers; Work in cross-functional teams
Communication Scope
Technical reports
Full Job Description
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 equivale
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