Data Scientist (m/f/d) Remote Option

We - the Data Science Solutions (DSS) Unit at SCHAEFFLER are looking for you! In close collaboration with our business units, we create user-centric digital solutions on a global scale. In doing so, we use one of the most important assets of our company: data!

Our agile product teams consist of colleagues from all over the world. What unites them is cutting edge expertise in Data Science, AI and Machine Learning, holistic user experience, cloud computing and software engineering, data engineering & architecture. Award-winning applications speak for our success.

We are also happy to receive applications from interested Young Professionals (m/f/d).

Your Key Responsibilities

• Create, deploy and operate Data Science Solutions in the context of machine lifetime analysis as part of a cross-functional, agile product team
• Collaborate closely with business stakeholders and condition monitoring specialists
• Carry out time series data analyses for the prediction of machine states
• Research scientific papers and apply relevant techniques to industry problems along with thorough validation of results
• Become a fully-committed member of a product team which takes ownership of new AI services from literature research to model serving
• Become an active part of our strong Data Science Solutions department where exchange and networking beyond team borders is a welcome source of inspiration

Your Qualifications

• Completed degree in (business) informatics, mathematics or comparable qualification
• Ideally some years of  professional experience in the field of statistics, vibration analysis and time series analysis, gladly acquired through relevant internships
• Knowledge of signal processing, hypothesis testing, Bayesian modelling, lifetime analysis
• Sound knowledge of Python and relevant libraries (e. g. pandas, numpy, tf , statsmodel, scipy, scikit-learn)
• Understanding of basic programming principles and modern DevOps Tooling are required e. g. SQL, Git, Docker, Jenkins
• First experience in the creation, deployment and operation of AI services, ideally in an API-first approach
• Experience with running machine learning experiments on the cloud and using AzureML services for results and artefacts traceability would be preferred, also usage of Azure Synapse analytics 
• Past experience with big data analyses will be an advantage, ideally in the context of condition monitoring
• Basic knowledge of NLP methods is a plus as well as of model maintenance (data drift/ model drift) in production 
• Very good knowledge of spoken and written English, German is a plus
• Open to new cloud technologies and data science methods and continuously striving to improve
• Distinct analytical competence, ability to concentrate and communication skills paired with an agile and product-oriented mindset

Our Offering

• Flexible working models and attractive remuneration
• A modern, collaborative work environment
• Targeted development and further training perspectives, accompanied by your personal People Competence Manager (m/f/d)
• A wide range of personal development opportunities among other things via our own “SCHAEFFLER Academy”
• A competitive company pension scheme
• Numerous employee benefits, such as health and sports offerings and corporate benefits