Data Scientist
Role details
Job location
Tech stack
Job description
Executing DSML activities, such as building, maintaining and improving automated workflows / pipelines, executing data analytics / analyses and machine learning activities. Review and evaluate algorithms / modeling approaches, including associated testing (verification and validation) from planning to automated execution and regression testing. Coding / programming algorithms and automated workflows / pipelines, DSML related software development including testing.
Requirements
English Language Level min C1 is a must. Completed studies in the subjects of data science, computer science, mathematics or physics with a focus on machine learning, artificial intelligence or statistics Expert knowledge in both Data Science (DS) and Machine Learning (ML) domain with relevant project experience. Professional education / knowledge regarding statistical analysis of data including visualization of results with typically associated tooling (dashboarding). Professional education / knowledge in Machine Learning regarding typical algorithms / modeling approaches, their validation and monitoring, required workflows and best practices. Hands-on experience with data processing pipelines, ML frameworks / modeling and typically associated tooling. Professional background regarding testing / verification and validation in the field of DSML. Professional knowledge regarding typically used tools on Linux and MS Office Windows applications for reporting and communication. SCOPE OF WORK Tight collaboration with both project manager and lead data scientist. Providing the detailed DSML domain knowledge to conceptualize and plan / detail related activities. Open communication and reporting.
Benefits & conditions
Shape the mobility of tomorrow Work on innovative and future-oriented challenges. Work flexibly Our working time model and our company day-care center (depending on location) enable you to perfectly coordinate your private and professional life. Broaden your horizons Not only does your daily work on new technologies educate you, our training program also helps you stay up to date. Stay fit An extensive range of company sports (depending on the location) and company health management keep you fit and provide the right balance. Experience appreciation An attractive basic salary and numerous other benefits open up new opportunities for you.