Data Scientist
Job Summary
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.
Were looking for the best people to join us on our journey. Right now were searching for a Data Scientist in our Stockholm office are you ready to hit play on an exciting career change
The Role
Werelooking for aData Scientistwhospassionate about using data to shape how millions of people experience entertainment. AtViaplay our analytics & ML team works at the heart of personalization customer engagement content optimization and product innovation.
In this roleyoullhelp 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 directlyimpacthow our audiences connect with Viaplay.
This isa great opportunityif you enjoy problem-solving experimentation and storytelling withdata andwant to grow your skills in a supportive collaborative environment.
WhatYoullBe 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
What were looking for
We understand you may feel confident ticking certain boxes more than others and thats why we always keep an open mind in our recruitment process. But in order to thrive in this role we do believe youll 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
Its 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
What we offer you
Weve 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 drivers 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.
Hit play today
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 dont send us your application via email because we wont 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! Were only ever a few clicks away.