Grover
Berlin, Germany
05/04/2018
Full time
Grover is a Berlin-based startup with global ambitions to reinvent consumption with a simple, on-demand subscription model for the products people love.
We believe that renting will replace lending in the next 10 years for most consumer products. We're here to make that happen.
Grover offers pay-as-you-go rentals for the latest technology with no contracts and no catch. A considerable amount of our energy is spent on buying and selling, even on products that only last for a short time – just because we don’t know how to do it better. We think it’s time to challenge this old assumption and explore alternatives that give consumers more options, more freedom and more fun. That’s why we built Grover.
Your Role:
Participating in design of Company wide Data Model
Enhancing our Data Warehouse and Data Marts
Developing ETL processes for external and internal data sources
Selecting features, building and optimizing algorithms using machine learning techniques
Extending company’s data with third party sources of information when needed
Creating new algorithms for Company wide Artificial Intelligence system
Your Profile:
Ph.D. or Master degree in Mathematics, Computer Science, Physics or similar disciples
Team work
Proficient level in Python
Proficient level in SQL
Advance level in Machine Learning algorithms
Knowledge and experience in any functional languages is plus
What we offer you:
Entrepreneurial responsibility and flat-hierarchies
Ownership of your work
Modern, spacious office located in central Berlin
Open minded variety of nationalities
A fun workplace
Fresh Fruit & Drinks
Team Events
About us:
At Grover, we believe in an environment that values entrepreneurship, intelligence and speed in everything we do. With over 16 nations represented in the team, diversity and multiple perspectives empower what we believe and how we work. In our HQ, in Berlin Mitte, you will join a powerful team building a great product for a valuable purpose. Join us to change the way the world consumes.
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