Expert Advanced Statistical Analytics

Vor 2 Tagen

Munich, Deutschland Klüber Lubrication Vollzeit

Working at Freudenberg: "We will wow your world" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Klüber Lubrication, a company of the Freudenberg Group, is the global leader in speciality lubrication with manufacturing operations in North and South America, Europe and Asia, subsidiaries in more than 30 different countries and distribution partners in all regions of the world, supported by our HQs in Germany. We are passionate about innovative tribological solutions that help our customers to be successful. We supply products and services, many of them customized, in almost all industries from automotive to the wind energy markets. **Some of your Benefits**: **Cafeteria/ Canteen**: **Cafeteria/ Canteen**: We offer fresh food on-site, both hot and cold.**Diversity & Inclusion**: **Diversity & Inclusion**: We focus on providing an inclusive environment and recognize our diversity contributes to our success.**Easily Reachable**: **Easily Reachable**: Easy, low-stress access by car or public transport.**Personal Development**: **Personal Development**: We offer a variety of trainings to ensure you can develop in your career.**Sustainability & Social Commitment**: **Sustainability & Social Commitment**: We support social and sustainable projects and encourage employee involvement.- München Hybrid Work - Klüber Lubrication München GmbH & Co. KG You support our team as **Expert Advanced Statistical Analytics (f/m/d)**: **Responsibilities**: - Development of and participation in data-based projects with a focus on research and development (R&D) - Application of statistical tools, such as Design of Experiments, to investigate and optimize product properties as well as measurement and production processes - Identification of improvement potential with regard to data management, data quality and digitalization in R&D **Qualifications**: - Degree in natural sciences or engineering (diploma, master's degree) in mathematics, physics, chemistry, engineering or related disciplines - Domain of statistical methods for processing, evaluating and modeling data - Sound knowledge of the programming languages Python and/or R and basic libraries such as pandas, NumPy, scikit-learn, Plotly, Tidyverse and Shiny - Good knowledge of working with relational data (SQL) - Knowledge of the use of Gitlab, JupyterHub, Airflow, MLFlow and Trino is an advantage - Convincing, binding, appreciative, loyal appearance The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law. **Additional Information**: - Sandra Ferreira - +498978769526

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