Senior Engineer Data Analytics (m/f/div) at Bosch Group

Dresden, Saxony, Germany -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Statistics, Machine Learning, Time Series Analytics, SQL, Impala, Spark, R, Python, C#, Data Quality, Documentation, Training, Problem Solving, Communication, Teamwork

Industry

Software Development

Description

Company Description Möchten Sie Ihre Ideen in nutzbringende und sinnvolle Technologien verwandeln? Ob im Bereich Mobility Solutions, Consumer Goods, Industrial Technology oder Energy and Building Technology – mit uns verbessern Sie die Lebensqualität der Menschen auf der ganzen Welt. Willkommen bei Bosch. Die Robert Bosch Semiconductor Manufacturing Dresden GmbH freut sich auf Ihre Bewerbung! Job Description We are looking for a highly motivated person who is interested to work at the interface of development, production and data analytics. In the role of Senior Engineer Data Analytics you will structure the analytics requirements of our engineers and use your skills in statistics, visualization and machine learning to offer the best solution possible within our given analytics toolset. You will be responsible for the following activities: Supporting our engineers: You will create analytics templates according to user requests, including documentation and training of users. Your first tasks will include to meet the analytics requirements of development and engineering teams for MEMS (Micro-Electro-Mechanical System) products. Making things smarter: To facilitate analytics tasks you will use your in-depth knowledge of statistics and machine learning. You are motivated to cover the required steps towards the solution from first idea to deployment. Ensuring quality: Data- and software quality are the basis for all of our activities: You will set up checks of data and software quality in your area of expertise and will take action to solve found issues together with other engineers or software vendors. Using and extending your skills: Depending on the project needs you will design data pipelines using SQL, Impala and Spark and extend our analytics tools using programming languages such as R, Python or C#. Enabling others: You are willing to enable others through trainings, presentations or supervision e.g. of student activities. Qualifications Education: academic degree (MSc, diploma or Phd) in mathematics, statistics, physics, IT or similar Experience and know-how: several years of experience in data analytics using either programming languages (R, Python) or visual data analytics software, ideally in the semiconductor industry, in-depth understanding of statistics, Machine Learning and Time Series Analytics, advanced programming skills in at least one of the following: Python, R, IronPython or C#, basic skills in application of SQL and Impala to relational and non-relational databases. Experience with Spark SQL and Spark MLib would be a plus. Ideally experience with the functionality and testing of MEMS sensors Personality and Working Practice: structured problem solver, high level of interdisciplinary comprehension and customer orientation, strong communication skills, reliable team player Languages: fluent in English and German Additional Information Sie haben Fragen zum Bewerbungsprozess? Susanne Reinert (Personalabteilung) +49 351 8547-2112 Sie haben fachliche Fragen zum Job? Sarah Fischbach (Fachabteilung) +49 351 8547-3612

Responsibilities

The Senior Engineer Data Analytics will structure analytics requirements and create analytics templates for engineers. They will ensure data and software quality while using their skills in statistics and machine learning to provide solutions.