{"id":4174306,"url":"https://alion.io/job/com-predict-senior-data-science-specialist-virtual-sensor-mfd","title":"(Senior) Data Science Specialist – Virtual Sensor (m/f/d)","company":{"id":2120382,"name":"Com Predict","domain":"compredict.ai","url":"https://alion.io/company/compredict","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Darmstadt, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-01T08:00:12Z","employer_posted_date":null,"last_verified_at":"2026-11-01T08:00:12Z","board_verified":false,"closed_at":null,"days_open":11,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":11},"description":"Introduction\nCOMPREDICT 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 50+ members from 10 different nations, we are on an exciting journey of growth and innovation.\nTasks\nAs a (Senior) Data Science Specialist for Virtual Sensors at COMPREDICT, you will improve our existing Virtual Sensors and bring them from research into series application. You will combine research and development with deployment, so that the solutions you build are accurate and robust enough to run in production vehicles. \nYou will work across multiple fields: tire pressure and tire wear, as well as other automotive use cases. Your work is always driven by physics and a solid understanding of the field. \nYour Responsibilities Include: \nVirtual Sensor Development: \nDevelop and improve our Virtual Sensors, with a clear focus on robustness and accuracy.\nCombine physical understanding with data-driven methods to build reliable models for automotive use cases such as tire pressure and tire wear.\nDeployment for Series Usage: \nDeploy Virtual Sensor solutions for series usage.\nPlan and carry out tests and validation to ensure the solutions meet the requirements of series application.\n\nProfile\nYou are passionate about turning physical understanding into software that replaces hardware in the vehicle. You bring: \nA degree in mechatronics, mechanical engineering, or a similar field\n3-5+ years of experience in model development\nExperience with signal processing for time series in the time and frequency domain\nExperience with modelling and system-based approaches\nExperience with Matlab/Simulink\nSolid knowledge of vehicle technology\nKnowledge of Machine Learning concepts and durability engineering is an asset\n\nAdditional Information\nCOMPREDICT is a leader in virtual sensor technology. We deliver pure software solutions powered by advanced AI that replace hardware and unlock new features and services. 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