Job Description

Responsibilities & Key Deliverables

Key Tasks and Deliverables

+ Lead advanced machine learning initiatives to identify performance trends and anomalies in EV powertrains.
+ Design and implement interactive dashboards using Power BI for real-time analytics and stakeholder reporting.
+ Conduct sentiment analysis on product launches using Python-based web scraping techniques.
+ Enhance and customize Python packages to optimize data processing pipelines.
+ Develop predictive models utilizing regression analysis and artificial neural networks to assess vehicle behavior.
+ Apply Matlab or Python programming for algorithm development and simulation tasks.
+ Interpret EV vehicle telemetry and analyze customer usage patterns for strategic insights.
+ Architect solutions for data modeling, segmentation, and automation of customer datasets.
+ Lead prognostics analytics initiatives focused on powertrain lifecycle performance and fault prediction.

2?. Critical Must-Have Deliverables

+ Deployment of at least two predictive models for EV powertrain performance or fault detection.
+ End-to-end dashboard creation in Power BI demonstrating vehicle performance metrics and customer insights.
+ Documented delivery of sentiment analysis reports using Python-based data acquisition.
+ Customization and optimization of Python libraries to support analytics scalability.

3?. Good-to-Have Deliverables

+ Integration experience with vehicle digital twins or onboard analytics systems.
+ Insights from user experience data related to EV interface and charging behavior.
+ Cross-functional collaboration exposure with design or customer experience teams.
+ Authored whitepapers or patents in the EV predictive analytics domain.

Experience

16-18 years of proven experience in data analytics, with minimum 5 years in EV or automotive systems*.
Track record of delivering high-impact AI/ML projectsfocused on performance prediction or customer analytics. Hands-on experience with end-to-end data pipelines in automotive environments*.

Industry Preferred

Automotive OEMs and Tier-1 Suppliers EV Startups or Battery Analytics Companies Predictive Analytics or Mobility Platforms Smart transportationor digital vehicle solutions

Qualifications

Bachelor's in Mechanical, Automotive, or Electrical Engineering(B.Tech) Postgraduate specializationin Data Science, AI, or Automotive Systems is an advantage Certifications in Python, Power BI, or machine learning frameworksare highly preferred

General Requirements

Competencies and Skills

Functional Competencies

EV powertrain architecture understanding Predictive modelling, machine learning (ANN, regression) Data visualization and storytelling*

Tools and Techniques Used

Expert-level Pythonprogramming and package modification Power BI, Matlab Web scraping and natural language processingfor public sentiment Vehicle analytics platforms (e.g., CAN data interpretation)

Behavioral Competencies

Analytical thinking and problem-solvingorientation Cross-functional leadershipand stakeholder engagement Innovative mindsetwith the ability to translate data insights into action

Job Segment:

Electrical Engineering, Electrical, Engineer, Automotive, Engineering