Overview

Senior Data Scientist - Consumer Behaviour - exciting scale up proposition

London office hybrid 3 days per week

Salary negotiable depending on experience to 90,000 + stock options

Job Reference J12960

Please note this client is unable to offer sponsorship so please ensure you have full UK working rights.

About Measure

Measure is building the world's first ethical and transparent human data marketplace.

The world we live in is awash in data; Measure believes there is a real opportunity to change how we manage and monetise our data lives with more control, and in a way that benefits individuals and society as a whole with better data-supported decisions. Measure has recently raised investment from venture capital and strategic firms and works with some of the world's leading brands to provide access to consumer behavioural data which has not previously been obtainable.

Measure offers stock options to all employees as part of the compensation package to share in the value created.

The Role

• Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis.
• Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes.
• Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner.
• Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing.
• Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights.

Your Experience and Skills

• Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries.
• Econometrics Background Useful: Expertise in statistical methods like linear regression, generalized linear models, panel data analysis, and time series forecasting.
• Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs.
• Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders.
• Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies.
• Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact of different media channels (TV, digital, print) on sales, considering factors like seasonality and competition.

Campaign Optimisation

• Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing.

How to Apply

If this sounds like the role for you then please apply to our retained recruiters, Datatech Analytics, today!