River
Location
Bangalore | India
Job description
About River River is an electric vehicle startup building multi-utility scooters. The company builds products ground up with a strong focus on design and engineering. Currently, the company is in the expansion stage as we have commenced our vehicle deliveries in Bangalore with over 200+ vehicles on road. River is backed by marquee international investors - Yamaha Motor Co Ltd, Dubai based Al-Futtaim Group, Lowcarbon Capital, Toyota Ventures, Israel based Maniv mobility and US based Trucks VC. These are mobility focused funds backed by some of the big names in the automotive industry. River is founded by experienced automotive professionals and is a fast growing company with a team of 400+ people.
Website : Location : Whitefield Bangalore(On-site) Role: Vehicle Dynamics Engineer Job Overview: We are seeking a highly skilled and motivated Vehicle Dynamics Data Analytics Specialist to join our team. The ideal candidate will have a strong background in data analytics, with specific experience in working with two-wheeler data and a focus on vehicle dynamics. Additionally, they should possess extensive expertise in data acquisition hardware, including but not limited to 2D sensors, VBox, and other relevant technologies. This role requires a deep understanding of data processing, statistical analysis, and the ability to derive actionable insights from complex datasets, particularly in the context of two-wheeler vehicle dynamics. Key Responsibilities : Two-Wheeler Vehicle Dynamics Analysis: 1) Conduct in-depth data analysis on two-wheeler vehicle dynamics, considering factors such as acceleration, braking, cornering, and stability. 2) Utilize specialized data acquisition hardware, including 2D sensors and VBox, to capture and analyze data related to the dynamic behavior of two-wheeler vehicles. 3) Data Integration and Calibration, 4) Collaborate with cross-functional teams to integrate and calibrate data acquisition hardware for accurate measurement of two-wheeler vehicle dynamics. 5) Ensure alignment between hardware configurations and data analysis requirements to enhance the precision of dynamic insights. Data Analysis Techniques: 1) Apply advanced statistical analysis and machine learning techniques to interpret vehicle dynamics data and extract meaningful insights. 2) Develop models and algorithms to predict and optimize two-wheeler performance based on dynamic data patterns. Hardware Expertise: 1)Possess an in-depth understanding of various data acquisition hardware technologies, specifically tailored to the measurement and analysis of two-wheeler vehicle dynamics. 2)Stay abreast of advancements in data acquisition hardware relevant to vehicle dynamics and recommend strategic implementations. Tool Proficiency: 1) Utilize programming languages such as Python or R for comprehensive manipulation and analysis of two-wheeler vehicle dynamics data. 2) Implement visualization techniques and develop dashboards to communicate complex dynamic insights effectively. Collaboration: 1) Work closely with cross-functional teams, including data scientists, engineers, and automotive experts, to understand the unique requirements of two-wheeler vehicle dynamics and deliver actionable insights. Qualifications: 1) Bachelor's or Master's degree in a relevant field (e.g., Data Science, Mechanical Engineering, Vehicle Dynamics). 2) Proven experience in data analytics with a specific focus on two-wheeler vehicle dynamics. 3) Proficiency in programming languages such as Python or R. 4) Strong knowledge of statistical analysis and machine learning techniques applied to vehicle dynamics. 5) Experience with data visualization tools (e.g., Tableau, Power BI). 6) Excellent problem-solving and critical-thinking skills. 7) Strong communication skills with the ability to convey complex findings related to two-wheeler vehicle dynamics to diverse audiences. Preferred Qualifications: 1) Familiarity with specific two-wheeler data acquisition hardware like 2D sensors, VBox, and related technologies. 2) Previous work in the automotive industry, particularly with a focus on two-wheeler vehicle dynamics. 3) Research or development experience related to optimizing two-wheeler vehicle performance based on dynamic data analysis.Job tags
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