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Data Scientist

Summary

The Data Scientist will develop analytic models and automation tools using R and Python to help advertisers optimize their marketing spend. The role involves interpreting data to provide actionable insights and requires proficiency in statistical modeling techniques.

The role is based in our Analytics department, who help advertisers get the best returns on their marketing and promotional spend. You’ll develop accurate and appropriate analytic models, and beginning to interpret the analysis in order to create concise, insightful customer communications.
To develop accurate and appropriate analytic models, under the direction of team leaders, helping provide commercially impactful advisory services
To develop analytic tools and R/Python automation to help the business deliver its goal
To continually accumulate and develop marketing effectiveness knowledge and expertise
To contribute to team goals and profitability, by producing work to timetable
To be a technical expert, bringing knowledge of multiple regression, logistic modelling, genetic algorithms, test design and computationally efficient methods to the team (there is opportunity to learn these in the role)
You will have achieved at least a 2:1 degree in: Computer scientist, data scientist, software engineering, finance/economics or mathematics/statistics.
You will be competent with at least two of the following: R, Python, MATLAB, SQL, VBA
Web programming skills would be advantageous but are not necessary!
Experience in media or marketing industry would be advantageous but not necessary!
Be able to communicate clearly in both Spanish and English
Intellectually curious with an open mind, a self-starter, genuinely interested in data driven analysis
We are hiring at multiple levels, but most interested in new graduates and applicants with between 1-5 years of experience

Ebiquity aims to create a workplace that is open and supportive, and free of discrimination and prejudice. We want the best talent available, regardless of race, religion, gender, gender reassignment, sexual orientation, marital status, pregnancy, disability or age.

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