Do you want to be a part of a fast-moving start-up with highly driven team members? Are you passionate about solving customer problems and providing value from problem to solution? If so, Hakio sounds like a place for you.
Aarhus, Denmark (Remote work possible)
As soon as possible
Send your resume to [email protected]
What do we do?
At Hakio, we have a dream to combat waste in global logistics and production with advanced forecasting. We believe that this is only something we can achieve if we can break down barriers and work towards common goals across companies, industries, and markets. With our enterprise platform, we will help customers to be able to make better, faster, and more accurate decisions that can reduce overproduction and lost sales due to incorrect stock levels at a large and impactful scale.
What do we offer?
- Be a part of a highly experienced and distinguished team of data scientists.
- A fun and engaging start-up environment where we grow and celebrate wins together.
- Ability to work in a hybrid setup with a base in our office in Aarhus N.
- Competitive salary based on skills and experience.
- Paid lunch, snacks, team events, etc.
- Develop statistical/machine learning models in Python for forecasting time series.
- Design custom forecasting solutions for our enterprise customers.
- Collaborate with the team and other stakeholders to continuously deliver customer value.
- Experience working with statistical modelling/machine learning.
- A desire to innovate and provide customer value.
- Great communication and collaboration skills.
- 3+ years of experience is a plus, but finding the right profile is more important to us.
We offer a dynamic and challenging work environment, with opportunities for professional growth and development. If you are passionate about forecasting and have a strong desire to deliver value through innovative solutions, we would love to hear from you!
Apply by sending your resume and cover letter to [email protected] and you will hear from us ASAP. Interviews will be held on an ongoing basis.