Data Scientist

Springer Nature
Responsibilities
- Manage a team of two analysts and mentor them supporting the development of their skills and their career growth
- Build strong and proactive relationships with relevant business stakeholders and senior management, providing insights and analytics to support in achieving the strategic goals of the business
- Conduct data analysis and data modelling integrating internal and external datasets
- Work as part of the marketing analytics team to share knowledge and ensure that measurement frameworks are baked in to marketing activity
- Development of measurement frameworks and testing plans
- Establishing design of experiments, measurement and testing best practice
- Gathering, analysing and blending data to produce business and customer insights, and give recommendations on how to further improve Springer Natures products, services and platforms
- Increase the adoption of data science, standardise analytics tools across the marketing organisation, improve data management and reporting, and make data led insight accessible to the business
- Being an advocate for a data-driven culture, share thought leadership on tools and best practices
- Introducing compelling data visualizations and interactive dashboards that allow right decision-making in a timely manner
- Leading the journey towards more advanced and predictive analytics using statistical modelling, machine learning and AI
Key Relationships
- Marketing data analytics and technology colleagues
- Other teams within marketing, especially marketing strategy
- Data development technical teams within SN Digital and Product
- Data and Analytics Solutions team
- Product team (PPG)
To apply for this job please visit careers.springernature.com.