Salary Competitive
Equity To be negotiated

Do you want to turn around the lives of people with skin issues by deploying your data science knowledge? And do you want to be part of revolutionizing an industry that desperately needs it? This Data Science job most likely comes with the highest impact on changing human beings' lives. The impact you will have on people's life can best be understood by watching the story from one of our users. Your knowledge will significantly contribute to providing our users with a happier life.

The opportunity and what we offer

  • Be part of a user-first company where your decisions will impact our users directly
  • A flat, transparent culture where everyone is encouraged to voice their opinions
  • Flexible working hours and the possibility of working remotely
  • Become co-owner of NØIE through warrants

Responsibilities

  • Proactively lead our data infrastructure with full ownership and responsibility
  • Build predictive models and machine learning algorithms
  • Give input and direction on our data setup
  • Analyze large amounts of information to discover trends and patterns

Qualifications

  • Knowledge of probability statistics
  • Knowledge of SQL and Python
  • Experience with Python Libraries such as Pandas, Sklearn, Numpy
  • Docker knowledge would be appreciated but not required

Data-driven dermatology

We utilize information from our users in adaptive bayesian statistical machine learning models that combine evidence-based knowledge and user feedback. Most importantly, the latter trains the models and increases their accuracy as we gather more feedback, making the products even better for the individual. Our community modelling approach makes NØIE unique and ultimately differentiates us from the conventional dermatological industry.

We have a strong focus on our data, and user feedback is the key in our approach. Currently, we have five people committed to working with our data. They focus on developing a continuously evolving model using AirFlow and Google BigQuery, but we know this can be improved, and we are looking into using Random Forest and other models.

If you have any questions, please contact Magnus Tuse Hansen at magnus@noie.com or +45 41826646.

For more information or questions please contact us at magnus@noie.com or phone number 41826646

Perks and benefits

This job comes with several perks and benefits

Free coffee / tea
Free coffee / tea

Get your caffeine fix to get you started and keep you going.

Near public transit
Near public transit

Easy access and treehugger friendly workplace.

Social gatherings
Social gatherings

Social gatherings and games; hang out with your colleagues.

Equity package
Equity package

Want to be a partner? Look no further.

Free friday beers
Free friday beers

Friday is something special, let's enjoy a beer together.

Maternity / paternity leave
Maternity / paternity leave

Kids are the future, go spend time with them.

See all 14 benefits

Working at
Nøie ApS

Nøie is science. Nøie is a community. And Nøie is you. Rather than mass-producing skincare products, we work with the customer to create the very best solution for their unique skin. We do this by combining the credibility of science with the experiences of the community — all in order to meet their individual needs. In fact, we take the matter so seriously that we write their name on the packaging. Our vision is to increase the quality of life for people with skin concerns and to create a new honesty about a taboo issue. Our goal is simply to reinvent skincare by creating the best skincare products in the world for each and everyone. And that’s what we call customised skincare. Read more about Nøie and try our skin test at https://noie.com Nøie is backed by top investors, such as LEO Pharma, PreSeed Ventures, Seed Capital, Thomas Ryge Mikkelsen, and other fantastic business angels.

Read more about Nøie ApS

company gallery image

Similar jobs

NLP-focused data scientist
Firmnav Copenhagen Full-time
Data Scientist
Mover Copenhagen Full-time
Data Analyst
Onomondo Copenhagen Full-time
Data Engineer / Data Scientist
Claviate Aarhus Full-time
Senior Specialist or Lead Data Scientist in REKOM Group
REKOM GROUP Copenhagen Full-time