Senior Marketing Science Consultant
Mix media modelling /Econometrics
London – 2 days in the office
The Senior Marketing Science Consultant will work with clients designing and delivering measurement solutions. Implementing best practice from a media measurement and technical point of view. They will use cutting edge approaches, and the best mathematical and data techniques available.
The role will run Marketing Mix Model, attribution, and other measurement projects Liasing with clients and directing projects from a modelling and mathematical point of view, ensuring statistical rigor and real-world media relevance. The role requires a good understanding of how media works and prior experience of measurement, ideally in a media agency environment.
Working alongside Data Scientists this role will bridge the gap to clients, ensuring that client requests are turned into designs for Analytics and that outputs are high quality and presented in a client friendly way.
Experience:
- 2+ years in a similar area in a Media Agency environment delivering MMM and attribution model projects.
- Understanding of Bayesian and linear regression approaches, other types of machine learning would be an advantage.
- Significant experience data mining and analysis. Designing approaches to answer ad-hoc questions.
- Good stakeholder management and exposure in a client facing environment.
- Great team player, previously worked over multiple workstreams and projects.
Skills:
- Market Mix Modelling and Digital and TV attribution knowledge.
- Excellent data visualisation and storytelling.
- Coding skills in either R or Python would be an advantage – either R studio or Jupyter notebooks.
- Good Excel and PowerPoint skills.
What you will bring to the role
Attitude: Analytical, positive, entrepreneurial, technologist, excellent communicator and collaborator, Ambitious and proactive, Restless and resilient.
If you possess the skills and experience outlined above and able to carry out the role to a high standard please get in touch at the earliest opportunity, thank you, Ian Benjamin