Senior Data Scientist

Viaplay Group

Not Interested
Bookmark
Report This Job

profile Job Location:

Stockholm - Sweden

profile Monthly Salary: Not Disclosed
Posted on: 08-11-2025
Vacancies: 1 Vacancy

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 Senior Data Scientist in our Stockholm office are you ready to hit play on an exciting career change

The Role

As a Senior Data Scientist at Viaplay youll play a key role in shaping the future of our data driven products and services. Working at the crossroads of personalization customer engagement retention and content optimization youll lead the design development and deployment of cutting-edge machine learning systems that reach millions of users.

Beyond building models youll serve as a strategic partner to teams across product engineering and commercial functions turning complex business challenges into scalable data-driven solutions. Your work will power smarter decisions strengthen our recommendation systems and unlock deeper audience insights that drive Viaplays growth.

Youll join a collaborative high-performing ML team of Data Scientists and Machine Learning Engineers united by curiosity technical excellence and a passion for innovation. We embrace a culture of experimentation shared ownership and continuous learning and were just getting started on our machine learning journey.

What Youll Be Doing

  • Lead the design development and deployment of scalable machine learning models for recommendation prediction and classification tasks
  • Conduct advanced statistical and behavioral analyses to identify trends in user engagement content performance and platform usage
  • Translate complex business problems into structured data science solutions that drive measurable outcomes
  • Collaborate cross-functionally with product engineering content commercial and marketing teams to drive strategic data-informed initiatives
  • Build robust production-ready data and ML pipelines ensuring reliability scalability and performance in a cloud-native environment
  • Take ownership of end-to-end ML projects from ideation and stakeholder alignment to deployment monitoring and post-launch evaluation
  • Contribute to a culture of innovation experimentation and knowledge-sharing within the data organization

    What were looking for

    Were looking for a strategic hands-on data scientist who combines deep technical expertise with strong business acumen and a collaborative mindset. You should be passionate about building impactful machine learning solutions and mentoring others while influencing data-driven strategy at scale.

    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:

    • Proven track record leading end-to-end ML or data science projects from problem definition to production deployment
    • 5 years of hands-on experience in applied Machine Learning or Data Science in production environments
    • Strong grasp of statistical modeling ML algorithms and their real-world applications
    • Advanced skills in Python with solid proficiency in SQL and Apache Spark (or PySpark)
    • Experience deploying models in cloud environments (preferably AWS) using Docker or similar tools
    • Familiarity with Airflow or other orchestration tools for building and managing ML pipelines
    • Excellent communicator able to explain complex concepts to both technical and non-technical audiences
    • Degree in Statistics Mathematics Computer Science or a related quantitative field

      Its a bonus if you have:

      • Experience with A/B testing platforms and causal inference methods
      • Knowledge of MLOps practices (CI/CD monitoring retraining)
      • Experience mentoring data scientists or providing technical leadership

        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.

          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. ...
          View more view more

          Key Skills

          • Laboratory Experience
          • Mammalian Cell Culture
          • Biochemistry
          • Assays
          • Protein Purification
          • Research Experience
          • Next Generation Sequencing
          • Research & Development
          • cGMP
          • Cell Culture
          • Molecular Biology
          • Flow Cytometry