Job summary
Join a dynamic data science team working to enhance digital subscription models for leading Nordic news brands. This role focuses on developing and deploying machine learning models that optimize customer engagement and subscription offers, supporting independent journalism through data-driven strategies. The position is hybrid-based in Oslo, Bergen, or Stockholm, with English as the working language and no Norwegian required.
Location and work setup
- Location
- Bergen, Oslo
- Work setup
- Hybrid
Responsibilities
Develop and improve machine learning models for a dynamic paywall and offer engine, covering propensity, recommendation, and offer optimization. Design, conduct, and analyze experiments across multiple brands to assess impact and effectiveness. Collaborate with data scientists and engineers to move models from development to production, handling feature engineering, training, evaluation, and monitoring. Translate analytical results into clear insights and dashboards for commercial teams. Contribute ideas to enhance modeling, tooling, and MLOps processes as the project expands.
Qualifications
Proficient in Python or R and SQL for data analysis and model building. Hands-on experience with machine learning model development and deployment in production environments. Strong foundation in statistics, including hypothesis testing and A/B experimentation. Effective communication skills to explain technical concepts to non-experts and willingness to collaborate with domain experts in business and editorial teams. Curious and proactive in learning and problem-solving within a multidisciplinary team environment.