MidFull TimeEN
At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, and TV channels. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.
We’re looking for the best people to join us on our journey. Right now, we’re searching for a Data Scientist in our Stockholm office – are you ready to hit play on an exciting career change?
We’re looking for a Data Scientist who’s passionate about using data to shape how millions of people experience entertainment. At Viaplay, our analytics & ML team works at the heart of personalization, customer engagement, content optimization, and product innovation.
In this role, you’ll help design and evaluate models, uncover insights, and collaborate closely with engineers, product managers, and content teams to bring ideas to life. From improving recommendations to understanding user behavior, your work will directly impact how our audiences connect with Viaplay.
This is a great opportunity if you enjoy problem-solving, experimentation, and storytelling with data and want to grow your skills in a supportive, collaborative environment.
What You’ll Be Doing
Design, train, and deploy machine learning and statistical models for recommendations, predictions, and classification tasks
Translate business questions into data-driven problems and deliver clear, actionable insights
Collaborate with product, engineering, content, commercial, CRM, and marketing teams to drive data-informed decision-making
Analyze large datasets to understand user behavior, content performance, and platform trends
Partner with engineers to deploy models into production and monitor their performance
Contribute to a culture of curiosity, knowledge sharing, and continuous experimentation
We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least some experience in the following:
2+ years of hands-on experience in applied data science or machine learning.
Experience delivering end-to-end projects, from problem framing and prototyping to evaluation and analysis
Proficiency in Python and SQL, with experience in data processing frameworks such as Spark
Strong analytical and statistical skills, including experience designing experiments or A/B tests
Familiarity with data pipeline and workflow tools such as Airflow (or similar)
Strong communication skills, with the ability to translate complex findings into clear, actionable insights
It’s a bonus if you have:
Experience with recommender systems, personalization, or content optimization
Familiarity with causal inference methods
Understanding of MLOps practices and collaboration with machine learning engineers
Experience in media, streaming, or e-commerce industries
We’ve got you covered! 30 days of paid vacation every year, an attractive pension and insurance scheme, and generous parental leave pay lift.
Your wellbeing matters. We provide you with various wellbeing initiatives including wellness allowance.
Flexibility that works. We follow a hybrid model with at least three days a week in the office, giving you the best mix of collaboration and focus time.
A safe space to grow and up-skill. Our learning culture puts you in the driver’s seat of your own development.
An innovative environment with Hack Days once a year. This week-long initiative allows you to think outside the box and deliver creative, technical solutions that (more often than not) go on to be implemented, either in our product or our ways of working.
Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product – including serier & viewing events, new release movie rentals, linear channels and more.
If this feels like your kind of challenge, make sure you apply by attaching your CV here – you may also want to add your LinkedIn profile. Please don’t send us your application via email because we won’t be able to accept it. We do, however, welcome any questions you may have about this particular position.
Want to learn more about who we are and what we do? Check out our careers page or follow us on Instagram! We’re only ever a few clicks away.
