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Expert python engineer for data science startup @ Windsor.ai
2 months ago
Requirements:
You have has 4+ years experience in programming.
You have a mathematical mind and be able to work independently but also be part of our team of skilled engineers and data scientists.
M.Sc. / PhD in computer science, statistics, engineering, mathematics, or physics
Good programming practices. You use merge requests, you frequently write tests and see the value of code reviews etc.
We use:
— Python (flask, gevent, memoize, pytest)
— Object oriented programming
— docker, linux, git
— SQL
Fluency with Unix/Linux bash, git, SQL etc.
As a plusEager to learn more about AI and be part of a growing company
Experience in web-analytics and web-technologies
Windsor.ai has built a data platform connecting to more than 300 different API’s. We are building tools to make data easily available to everyone. We are growing 80% per year and are profitable. We are mostly using python and we are a very technical team where everyone can write at least a few lines of code.
If you like python and like to solve difficult problems and like to work in a fast-growing company where you can have impact join us
During our first year we have gotten 12 of the Fortune 500 companies as clients.
Project descriptionSenior Software engineer — Windsor.ai
Looking for a successful AI company where you can have an impact? Join us
Working in a talented team close together with customers to build solutions to make better decisions based on data. Communicate results to business, improve based on client feedback. The role requires a wide understanding of the modern data technologies but also business topics. It is a great opportunity for a talented and skilled data scientist.
The whole company is full-stack.
We offer— Great compensation
— Skilled and ambitious team
— Option/Equity package
Windsor.ai is growing 80% per year and we are profitable so we are doing great.
We would be delighted to receive your application and CV.
,[Improve windsor.ai’s product and data platform , Improve data pipelines , Build machine-learning models , Create visualisations] Requirements: Python, Flask, pytest, Docker, Linux, Git, SQL, Unix, Bash, PhD, AI, Web-analytics , Web-technologies