UrbanDataLab AG

Data Scientist (60%-100%)

Employment type

Full-time

To support the development of our predictive insights in close cooperation with our clients, we are looking for an entrepreneurial, collaborative person with hands-on experience in delivering high and data projects.

Your Role

Work with our clients on proof of concepts to solve their «impossible» tasks
Guide workshops and projects, to show the application of our solution
Build prototypes that consist of clear code

What we look for

«Solution finder» with the ability to think big and work in a team
University degree (Msc or PhD) in computer science, statistics, mathematics or related fields. Industrial experience in related field is a plus

2+years working experience with:

Applied machine learning for tabular data, e.g. with xgboost, catboost, random forests, deep learning etc.
Traditional statistics and test, e.g. multivariate regression, discrete choice, t-test, etc
Advanced knowledge of data science libraries in either R and/or Python: Data wrangling, visualization, machine learning
Visualization and storytelling with real world data

Experience in deployments of ML-models as API with testing routines is aplus
Experience in distributed computing (e.g. via Spark), Docker and mlflow is a plus.
Experience to work in agile teams with version control (git) is a must
Experience with relational and non-relational databases (e.g. PostgreSQL, PostGIS)
Experience with geodata and geoprocessing is a big plus
Excellent english skills, both written and spoken

What we offer

Young and ambitious Startup located in Zurich
Low bureaucracy and open for new ideas
Professional training and exchange with experts
High potential to grow into management position
Flexible working hours and remote work are possible

How to apply
Please submit your application via hr@urbandatalab.net. Don›t hesitate to contact us if you have further questions.

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UrbanDataLab AG

https://urbandatalab.ch/

UrbanDataLab AG is a Zurich-based deep tech startup in the geospatial data and analytics space. The core technology is based on years of advanced data science & research at ETH Zurich, one of the top 7 science and engineering universities globally. Increase in geospatial & geographic information system data as well as remote sensing data and rise in need to extract meaningful information from this data drive the growth of the $58 billion geospatial analytics market to more than $150 billion in the next 10 years. Today this market is still dominated by highly specialized systems and experts. Our ambition is to unlock this market potential and to become the leading AI-powered platform for location analytics and business intelligence that allows - everyone - to extract meaningful insights from geospatial data.