We are looking for a full-time Data Scientist!

About Sellforte

We are a team of scientists, developers and consultants, combining the latest technologies and breakthroughs in data science with years of experience from working with leading retailers of the world. We provide a SaaS solution to large marketers across Europe to analyse the performance of their marketing and campaign activities. Our predictive analytics enable long-lasting tangible recommendations and immediate actions.

We are looking for ambitious people to join our journey to make Sellforte a global success story!

We are passionate about creating high-quality code and analytics, aiming for a great service with unmatched user experience. We function as a tight team, working the many facets of data science and data engineering, such as building data pipelines, designing and setting up cloud infrastructure, method development, software development, and working closely with clients. We thrive by solving challenging high-value problems that bring remarkable impact to our clients.

As a Data Scientist at Sellforte you will

Work in an open and easy-going startup environment with nice colleagues

Be a member of a strong and ambitious team with several PhD's and other specialists

Program with Python stack (pandas, numpy etc)

Develop leading edge science for advanced retail analytics

Work closely with customers’ data to develop new insights and algorithms

Implement machine learning models, predictive analytics such as time series forecasting, and Bayesian models to infer causal impacts

Your skillset

Interest in startups, data science and learning the most recent technologies

Hands-on skills especially with Python, and get-things-done attitude in general

BSc, MSc or PhD Degree in Physics, Mathematics, Computer science or other suitable field

What we consider as an advantage

Experience with ML/AI

You are familiar with relational databases

You are familiar with AWS or some other similar cloud computing platform

What we offer

Supportive and motivated team

Interesting and highly challenging work

Flexible working hours

Competitive salary

Stock option plan

Lunch and sport benefits

Occupational health care

Support for professional growth, for example by company paid conferences, on-line courses, literature etc.

Next steps: Apply or drop us a message

We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today!

You can apply via Hub.io or ask more information via email:

Apply via hub.io