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Data Science Lead

Data Science Lead

Do you want to take the lead in building a world class data science team - to solve important real world problems in an industrial setting? 

We come to work every day to make sense of complex industrial data for our customers. We are growing fast, both as a company and in the amount of data we collect. 

Now we need you on the team to take it to the next level. 
  • Do you have experience with applied data science on time series data? 
  • Do you have experience in building a data science tech stack that can solve hard data problems elegantly and efficiently in production? 
  • Do you want to take part in building a team and product that can improve the footprint of industrial production? 

The challenge

We collect data, lots of it, from machines, sensors, assets, software and open sources for our customers in aquaculture, agriculture and other industries. On top of our platform we build Clarify to make it easier for people to make data driven decisions and to collaborate to solve problems and unlock innovation. 

Our customers face complex optimisation problems every day, in order to move their process in the desired direction. Making good decisions is harder than it has to be today. We believe the key to improving is combining quality data with human expertise and modern data science tools. 


This is your cue to enter the stage

We collect time series data and as much contextual information as we can. Your main challenge will be to apply your knowledge and choose methods/technology to help solve questions such as: 

  • How can we use combinations of data to automatically classify and recognise specific operations or situations? 
  • How can we use data to help people see relations that might not be obvious?
  • How can we help people discover critical situations before they occur? 
  • How can we use historical data to see how to improve? 
  • How can we predict the future to aid better planning? 
  • And the list goes on.. 

Keywords: pattern recognition, anomaly detection, time series prediction, graph databases, search, computer vision, machine learning, mathematical modelling, cybernetic modelling. 

As the data science lead you will:  

  • Be responsible for building a suitable tech stack to solve problems and work in production.
  • Collaborate with the hiring team to build an awesome data science team. 
  • Apply your expertise and work closely with our customers to solve real world problems.
  • Collaborate with the backend, frontend and design team to plan, implement and deliver our product, Clarify.

We are looking for someone who: 

  • Know how to move technical discussions and solutions forward.
  • Have a proven experience in building and running complex systems.
  • You know how to operate systems in production and mitigate live issues.
  • Have a real passion for working together and solving complex problems as part of a team.

Join us on our mission to Clarify data heavy industries

Clarify is changing the way people and organisations use data for decision making, collaboration and innovation. Do you want to help us help people solve problems and innovate in data heavy industries?

Working in Searis means working in a young and fast moving tech company, together with a talented and easygoing group of people. We build technology for the future, to solve hard problems for our customers. 

We look forward to get to know you! 

 





Take the lead now

Or, know someone who would be a perfect fit? Let them know!

The most important thing is to have fun!

In order to have fun we need to work on challenges that matter, build quality solutions, innovate and challenge ourselves. 

And of course just do fun stuff! 

We fly drones, exercise together, build automated industrial beer brewing systems (for data testing ofc), go to conferences, arrange company events, excursions and so on.  

We do our best to build a workplace that is including and take care of people, while being professionally rewarding.  

We build our culture on trust, autonomy and positivity. 

We welcome you to take part in forming a great place to work.

Already working at Searis AS?

Let’s recruit together and find your next colleague.

email
@searis.no
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