Job Details
Start

July 2021

Position

Fulltime

Department

Data Science

Location

Karlsruhe

Qualifications

Python

Experience

+2 years experience with handling diverse data sources and with the application of statistical and ML methods

About us

prenode is a KIT spin-off that develops cutting-edge AI software inspired by innovative research. We enable companies that face analytical challenges to scale AI effectively across organizational boundaries without revealing raw data at any time using our Decentralized Machine Learning technology.
For our journey to the top of collaborative AI development, we want to extend our team with talented and driven individuals.

Your Tasks

  • Lead conversations with our customers to identify and create value based on their data.
  • Select the right set of statistical and machine learning algorithms and techniques to use, for a given problem.
  • Develop relevant, accurate and actionable models for your customers in different domains e.g. medical or industrial.
  • Introduce mlx, our platform for decentralized machine learning, to customers and support the implementation.
  • Support our customers on their journey to utilize decentralized machine learning.
  • Guide and mentor junior data scientists.

What we offer

  • A dynamic and ambitious environment that guarantees you a steep learning curve and the possibility for growth
  • A flexible and modern working culture that gives you the advantages of today’s digital possibilities and tools
  • An innovative new technology and approach that ensures your everyday work is purposeful and impactful
  • A fun and committed team that wants to collaborate and learn from each other
  • A modern development process and opportunities to work with technologies such as React, FastAPI, NodeJS and cloud platforms

Your Profile

  • Passionate about statistics and machine learning.
  • +2 years experience with handling diverse data sources, including exploration, preprocessing, cleansing, and tracking.
  • Experience with the application of statistical and machine learning methods to complex problems.
  • Demonstrated proficiency in Python.
  • Ability to collaborate with and to guide other data scientists.
  • Fluent in English and German, both verbal and written communication skills.

What we value

  • Innovation. We love technology and the new possibilities it enables.
  • Happiness and growth. We seek an environment in which everyone has a good time and can develop its full potential.
  • Data privacy. We believe great advancements in AI and data privacy can go along.