Job Summary

Responsibilities
Work on a wide range of data science projects: Examples include improving the ranking and composition of our feed, bringing our follower recommendations to the next level and helping us keep users engaged.
Turn your ideas into data products ready for our production systems.
Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers).
Work with the Python Data Science Stack and a modern AWS infrastructure.
Identify how to best leverage our data to improve our platform.Discuss product improvements, technical possibilities and road maps.

Why you will love it
You will deal with a diverse set of data (location data, social network, user content (images, text), external data sources like OSM, product analytics).
You will go beyond prototyping and ship your code to production
You will contribute to a product with a vision to inspire more people to go outdoors.
You will work in a fast-paced startup with strongly motivated and talented co-workers.
You will enjoy the freedom to organize yourself the way you want .
We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, or anywhere else that lies in any time zone situated between UTC-1 and UTC+3.

Requirements
Have a passion for finding pragmatic and smart solutions to complex problems
Have a solid understanding of math and statistics
Have 3+ years of industry experience in data science
Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost
Bonus: TensorFlow, Keras or PyTorch
Know SQL
Love to write clean, maintainable and tested Python code
Have experience productionising your data science solutions
Have strong communication and team skills
Have a hands-on attitude and are highly self-driven
Bonus: Know statically typed languages such as Kotlin/Java/C or Go
Bonus: Have cloud experience (e.g. with AWS)
Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)