Our client are a scale-up internet business that is focussed on C2C selling online. They are a well funded company that are growing year on year and offer an unrivalled environment for ambitious engineers and data scientists alike to further their career and knowledge.

Tasks:

• Develop new media-mix models (MMMs) to measure marketing performance and thus enable the marketing team to optimally diversify our investments
• Collaborate with the marketing data science team to deploy MMMs and monitor their performance
• Iterate to improve accuracy and reliability of our marketing-mix, engagement, direct-response, life-time value and other models
• Help to improve the overall marketing ROI/payback measurement approach
• Drive a culture of experimentation in Vinted marketing Data Science & Analytics

Expectations:

• Expert in the field of marketing-mix modelling with a proven track record
• Keen on applying state-of-the-art statistical methods to solve business problems
• In-depth econometrics knowledge (Bayesian, panel-data, linear regression models etc.)
• At least 5 years of data science experience focused on econometric / Bayesian / time-series modelling in the field of marketing
• A graduate degree in statistics, econometrics, mathematics or a similar field
• Advanced knowledge of at least one statistical programming language (R, Python, Stata, Matlab etc.)
• Fluency with SQL and experience with dashboarding tools (e.g. Looker, Tableau, etc.)
• Excellent at communicating in written and spoken English

Tech stack:

• SQL, Python, Bayesian / time-series modelling in the field of marketing, R, MMM.