facebook tracking
Data Scientist - Machine Learning

Data Scientist - Machine Learning

Our Vision & Product

APPRL's vision is to reinvent e-commerce and digital media by empowering digital magazines & influencers to create shoppable content in the most frictionless and fun way possible.

Our product enables the top content creators within fashion, interior design, health, beauty, sports and beyond to create digital popup shops and link their content on blogs, Instagram, Youtube and other platforms to shoppable products from the world’s leading retailers with just a few taps.

We're focused on creating an outstanding user experience, through great design, high performance tech & AI.


APPRL was founded by Martin Landén and Gustav Gisseldahl who came from a background of media, tech & advertising, with the mission to make e-commerce more contextual, connected and distributed in a relevant way.

Today, APPRL consists of a world class team of 16 people in Stockholm with experience from Soundcloud, iZettle, Bloglovin’, Klarna, H&M, Barneby’s and more. We’re backed by Spintop Ventures as well as a whole range of great private investors with experience from companies such as Google, Rebtel, Klarna, J.Lindeberg and much more. We also have a Brazilian subsidiary with a team of 4 in Sao Paulo, where we’ve joined forces with the leading Brazilian influencer network.

Our Next Challenge

The big thing we’re currently working on is to create the next generation of the APPRL user experience, including design, UX, new frontend technologies, scalable tech and AI-powered product recommendations. To succeed with this we need to grow our Data team with capabilities in machine learning, business analytics and data engineering.

We’re now looking for an experienced data scientist specialized in machine learning who can develop models for a wide range of areas like product recommendations, campaign optimization, fashion trend prediction and more. You should have experience from building machine learning models that have been applied in production and preferably have experience from working with several different machine learning techniques.



  • Being able to develop machine learning models in e.g. Python or R for a wide range of problems and deploy them in production
  • Fluent in SQL
  • Work experience of successfully driving machine learning projects
  • 3+ years work experience as data scientist or similar


Other qualifying experiences

  • Data engineering and AWS
  • Experience in business intelligence and product analytics

What we can offer you

  • Being part of a fun, skilled & highly motivated team that brings experience from world leading companies & startups
  • Option program for all employees
  • We want to prioritise your own learning as much as possible, through feedback, tools, or whatever you need to accelerate your skills & career
  • An opportunity to shape your own career development. The more responsibility you want to take, the more you will get - and get rewarded for it
  • Experience working with the latest, modern technology & frameworks
  • Being part of a fast-growing tech startup with global ambition, that already has footprints in Scandinavia, Brazil and more
  • Probably the coolest office space in Stockholm at A House Stockholm
  • Regular off-sites, after-works, breakfasts and other events with the team
Apply for this job

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


c/o A House, Östermalmsgatan 26A
114 26 Stockholm Directions hello@apprl.com +46765408080

What APPRL can offer you

APPRL is a fast-growing tech startup with global ambition, that already has footprints in Scandinavia, US, Brazil and beyond. When joining APPRL, you're joining an awesome team of engineers, innovators, creators and makers, that all work together to accomplish great things - and have lot's of fun on the way.

  • Be part of an awesome team

    In APPRL you'll be part of a fun, skilled & highly motivated team that brings experience from world leading companies & startups. Our team & advisors have previous experience from companies such as Soundcloud, DDB, Klarna, King, Google, H&M, Rebtel, LBi, TV4 and much more.

  • Develop your skills & your career

    The most important thing to help APPRL to succeed is to help our people to succeed. We will make sure that all our employees keep learning, develop their skills and careers using all available tools; constant feedback, setting a learning plan and other available tools.

  • Option program for all employees

    We want all our employees to get rewarded for their contribution to APPRL's success and therefore offers everyone in our team an option program.

  • Probably Stockholm's coolest office space

    APPRL is part of A House Stockholm, a coworking project under development where we share offices with innovative companies within tech, food, media & other creative industries and will have one of Stockholm's best restaurants opening up in early 2016...

Working at APPRL

We strongly believe in building things that are larger than the sum of its parts. Both tech- and personalitywise. If you have some passion besides work, tell us! We are a perfection-oriented company and the only way to accomplish that is through a diverse mash of people and experiences. We want you to teach us stuff we didn’t know before, just as much as the other way around.

Already working at APPRL?

Let’s recruit together and find your next colleague.


Applicant tracking system by Teamtailor