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Working Student/ Internship – Data Scientist (m/f/d)
Your Day in the Data Science Department

You will be a part of a creative and diverse work culture that not only befits the clients, and business growth yet providing an opportunity for you to grow professionally. As a Work-student-Data Scientist, with good knowledge in Python, you will be involved in the statistical analysis and reporting with a prime motto of automating the reporting and delivering state-of-the-art solutions per client’s requirements.

How you’ll make an impact

Support in statistical analysis for varied use-cases like food, consumer protection, environment, materials, biomedicine, etc.
Automation of the reporting
Development of our web-based software solutions
What you bring?

You are studying in a technical field (computer science, mathematics, statistics, and physics) or you bring your expertise in mathematics.
Very good knowledge in MS Excel
Good knowledge in MS Word
Interests in mathematics, statistics, and programming
You have in-depth knowledge of Python including application development (in combination with other technologies is a plus).
Keen to learn new concepts, comprehensive, and not afraid to take on new challenges
You are open, outgoing, and have excellent communication skills.
You live in Dresden and would like to work as a student trainee for about 10 - 20 hours per week.
You have fluency in English, with excellent written and verbal communication skills, German is a strong plus.

What we offer you

A great team with a flat hierarchy and an open corporate culture
Exciting and diversified tasks with multidisciplinary colleagues
An open ear for your own creative ideas
Flexible working hours.
An old villa in art nouveau style near the river Elbe with large offices
Joint events, e.g., summer and Christmas parties
Coffee flat rate & free drinks

QuoData-Who we are?
25+ years of expertise in statistical consulting services, developing software solutions to support industry, research, and government in analytical quality assurance and method development. A global leader in developing and delivering novel tools for analytical quality assurance. The interdisciplinary Data Science team of QuoData has been involved in designing and evaluating proficiency tests and validation studies for more than 20 years in environmental issues, food safety, diagnostics, material research, and more.

Did we pique your interest?
Take the next step now and send us your complete application by e-mail to Mrs. Berger: karriere@quodata.de.

We are looking forward to your application!