Usamos cookies técnicas y estadísticas de visitas: Yandex Metrica y el registro de visitas desidentificado de Zorky. Nunca vendemos datos. Más sobre cookies y estadísticas.
Zorky está en modo de prueba: todo es gratis. Este sitio es solo una demo: los nombres de empresas, los enlaces y tu feed personal se abren tras registrarte. Regístrate →
ZorkyZorky
Español
@termdocs
← Todos los empleos

Engineer (18-Month Leased Labor) - Data Analysis and Statistics

DEhace 2 sem.
Stack
pandaspythonscipysklearnsql
Mostrar empresa y enlace
Gratis, tras iniciar sesión.
Postular
Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.
Enviar tu CV →
Descripción
Huawei's Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strategic engineering of our products. In the Automotive Engineering Lab (AEL) teams are rapidly growing and focused on advanced automotive technologies in multiple domains. Join Automotive Engineering Lab (AEL) as: Engineer (18-Month Leased Labor) - Data Analysis and Statistics (m/f/d) Your mission Conduct scenario data analysis, transforming raw operational data from open and in-house sources into rigorous, statistically valid data-driven evidence. Link between data-driven validation and regulatory frameworks such as UN-R157, EU Type Approval, and the AI Act, focused on supporting safety claims by robust statistical methods. Explore and pre- and post-process driving data from open data and in-house data sources. Implementing data processing pipelines. Design and execute statistical data analysis (e.g., using Bayesian inference, Monte Carlo simulations, or accelerated testing methods) to extrapolate real-world data into statistically significant claims. Apply AI methods to data labeling, clustering, characterization. Your areas of expertise Bachelor’s or Master’s degree in Computer Science, Statistics, Data Analytics, Electrical Engineering or equivalent experience. Profound knowledge and proficient skills in data analysis and programming languages, e.g., python, R, and frameworks such as pandas, sklearn, scipy and pythorch. Experience with wor
Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión
Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.
¿Pregunta urgente? Escribe a @termdocs