Data Scientist
Job Overview
Data Scientist - Campaign Analytics Support and Automation
WHAT IS THE ROLE?
We are a nimble team of analysts, architects, and data engineers, all with a strong analytical background, working in the landscape of media analytics. Our goal is to provide the best solutions to internal stakeholders all around the globe, driving process improvements and automations. We continuously invest in our team’s development, providing robust opportunities for growth of both hard and soft skills.
You will play a pivotal role in our team, helping build pipelines, applying statistical techniques to solve problems, and driving sustainable automation and code development. In collaboration with your teammates, you will provide support and insights to internal partners, ensuring processes are sustainable to drive growth efficiently.
IS THIS FOR ME?
You are curious, persistent, logical and have a growth mindset – a true data enthusiast at heart. You have an entrepreneurial and solution driven mindset and enjoy providing valuable answers to difficult questions. You own your solutions from design to implementation, and onwards.
You love turning needs into solutions, designing models to support decision-making. With your experience you are able to work independently and collaboratively, train others as required and make data driven decisions to get the best solution. You are passionate about the future trends of data practice and dare to design and deliver new solutions for known and new challenges.
PRIMARY ROLE RESPONSIBILITIES
Write and review code in collaboration with other team members to process structured and unstructured (client) data using advanced analytical solutions
Use and fit different mathematical and econometric models for explanatory purposes that lead to better decisions, and translate these model outcomes into actionable insights and business value.
Create high-quality data visualizations for internal and external purposes
Present and explain technical solutions or results in a stakeholder-friendly way.
Make key (technical) decisions in a project and take accountability for these decisions.
Communicate and collaborate effectively with others (e.g. other team members, project or tech leads) to discuss complex data-driven and code-related matters