Data Science Associate Director
4 weeks ago
Job Description
We currently are looking for an experienced econometrician (Associate Director level) who is looking to embrace other techniques and develop your consultancy skills.
The most important skill is adaptability. You will be able to think quantitatively and not be wedded to conventional econometrics as being the only way forward. We are a medium sized team and there is an opportunity to set the direction.
You will get involved in exciting and intellectually stimulating projects. Perhaps most importantly, you will grow from being an econometrics specialist to a quantitative marketing consultant.
Some of the responsibilities of this role are to:
Understand clients’ marketing issues. Synthesize the problem. Develop and deliver the solution. Conduct econometric projects. This however represents a small and declining fraction of our business Interpret output from third party suppliers of econometrics. The ability to translate models from other suppliers and build on their work to create client solutions. This represents a growing part of our business. Learn and understand how all of our tools work and how to implement them to solve clients’ marketing problems Contribute to the develop of new tools and techniques and enhance existing ones. Spot opportunities to commercialise Data Science - i.e., help sell solutions and generate healthy levels of income. Develop junior members of the team.Qualifications
To be Successful in this role you will need:
Be highly numerate and analytical Have strong problem-solving skills Be inquisitive beyond the project brief Be highly diligent and be able to conduct analysis with a high degree of accuracy. Have a proven ability to convert analysis into real world actionable solutions Understand marketing strategy and business issues across clients. Have experience conducting econometric modelling – ideally in the field of marketing Show a good understanding of MMM model output implications on media planning Have experience using modelling platforms (e.g. EViews, MassTer, Stata etc.) Have excellent knowledge of the Microsoft suite (Teams, Excel, Powerpoint), Experience of other analytics techniques is desirable but not essential Knowledge of a programming language (such as R/Python) is desirable but not essential-
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