📣 Finde deinen Traumjob als Data Scientist (m/f/d) bei QuoData in Dresden

Make a contribution - what you can expect:

• Working at the intersection of statistical engineering and application development for various use-cases in the field of food, consumer protection, environment, materials, biomedicine, and more
• High involvement in product development and project management
• Good public transport connections
• Highly motivated, nice colleagues
• An open ear for your ideas
• A family-like environment
• An old villa in art nouveau style near the river Elbe with large offices

Your profile and skills

What’s important to us

• You have in-depth knowledge of Python including application development in combination with other technologies.
• You bring creativity and the ability to work in a team.
• You have strong analytical and problem-solving skills.
• You enjoy working independently in a self-organized team.
• You are interested in diversified tasks and working in an interdisciplinary team of mathematicians, biotechnologists and bioinformaticians.
• You enjoy the freedom to devise practical solutions to problems and bring them to life.
• You like creative writing and presentations (e.g. reports, manuscripts, summaries of results)
• You are familiar with R, GAUSS or similar statistical tools.
• You can bring your scientific knowledge into play.
• You have initial experience in project management and product development.

What’s beneficial

• Interest in statistics, data analysis and design of experiments (DoE)
• Good English skills
• Experience with document-oriented databases (e.g. MongoDB, DynamoDB) and database development/data modeling of relational databases (ideally MySQL).
• Hands-on experience in developing web applications with JavaScript.
• Experience with PHP or single page application frameworks such as Vue.js, AngularJS or ReactJS
• Experience in the creation of smart AI-based applications
• Experience with agile software development/working methods (e.g. Kanban), short iteration cycles and rapid prototyping
• Experience with version control systems (ideally Git)
• Experience with the implementation of workflows for machine learning, e.g. for feature engineering, model training, data analysis and DoE

What we offer you

• Flexible working hours and home office option
• Diversified tasks
• Joint events, e.g. summer party and Christmas party
• Company pension scheme
• Coffee flat rate & free drinks
• Continuing education as well as development and training opportunities in ongoing projects

Do you feel addressed?

Then send your informative application documents to Kristina Berger ( karriere@qu... [Vollständig anzeigen] ).