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Data Science Specialist (1 year limited contract) at COMPREDICT

Darmstadt, Hesse, Germany -

Full Time

Start Date

Immediate

Expiry Date

11 Aug, 26

Salary

5000.0

Posted On

13 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Timeseries Analysis, Python, Vehicle Dynamics, AI Tools, Vehicle Testing, Measurement, Data Quality Checks, Labeling Techniques

Industry

Software Development

Description

Your mission Your mission In recent years, we have developed virtual sensor technologies that replace or enhance physical sensors in automotive chassis systems, especially for tires and suspension. Because these applications depend on clean data for effective training and validation, we created DataPilot, a SaaS product that checks, corrects, and labels driving maneuvers. We are looking for a Data-Science specialist eager to work with data from different sources and develop DataPilot. Your responsibilities Develop, test and deploy data quality checks for timeseries Develop, test and deploy labeling technics to describe efficiently the context of timeseries Integrate advanced AI methods into the platform Collaborate with cross-functional teams, including product designer and software engineers, to integrate developed technics into DataPilot Your profile 2+ years of experience in data-science, especially with timeseries Degree in mechatronics or mechanical engineering, or a related field. Solid knowledge in Python Strong understanding of vehicle dynamics Hands-on experience with modern AI tools Experience with vehicle testing and measurement is an advantage Why us? About us COMPREDICT is driving the paradigm shift towards software-defined vehicles, offering next-level solutions for sustainable mobility. Founded in 2016 in Darmstadt, Germany, by Dr. Rafael Fietzek and Dr. Stéphane Foulard, our focus lies in developing Virtual Sensors for Mobility to optimize vehicle design, usage, and maintenance. We partner with and serve automotive manufacturers and Tier1 companies worldwide. With a diverse team of 35+ members from 10 different nations, we are on an exciting journey of growth and innovation.

Responsibilities

Develop and deploy data quality checks and labeling techniques for timeseries data within the DataPilot SaaS platform. Collaborate with cross-functional teams to integrate advanced AI methods into the product.