Working Student (f/m/d) Data Science & Analytics
SIEMENSForchheimUpdate time: February 23,2023
Job Description
Mode of Employment: Fixed Term / 15h/Week Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry. We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting? Then come and join our global team as Working Student (f/m/d) Data Science & Analytics. Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours. Your tasks and responsibilities: You will be part of the global and cross-functional data team in our x-ray product business You will work on a variety of machine data projects, developing prototypes and proof of concepts to help productize data solutions You will have the opportunity to choose from a diverse range of projects that align with your skills and interests, including data visualization, data modeling, data analytics, machine learning, and data engineering You will use state-of-the-art tools in the data science sphere, such as Azure Databricks, Spark, PowerBI, and Qlik, to help us deliver innovative solutions that drive business outcomes To find out more about the specific business, have a look at https://www.siemens-healthineers.com/products-services Your qualifications and experience: You must be an enrolled student in a relevant field of study You should have a track record of practical data science experience, either through work, study, or personal projects You have some experience using common data science and engineering tools such as Python, SQL, Qlik, PowerBI, or similar technologies Your attributes and skills: You are proficient in English and/or German You possess a strong passion for data, enjoy tinkering with it, and have a willingness to learn, allowing you to develop creative solutions and work through challenging problems Are you looking for a new challenge? Then we look forward to receiving your application! Our global team: Siemens Healthineers is a leading global medical technology company. 68,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services. Our culture: Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That’s why we invite you to take on new challenges, test your ideas, and celebrate success. Check our Careers Site at https://www.siemens-healthineers.com/de/careers As an equal opportunity employer, we welcome applications from individuals with disabilities. Wish to find out more before applying? Contact us: students.func@siemens-healthineers.com. We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started. Siemens Healthineers Germany was awarded the Great Place to Work® certificate. Organization: Siemens Healthineers Company: Siemens Healthcare GmbH Experience Level: Student (Not Yet Graduated) Full / Part time: Part-time

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