Senior Data Scientist - Consumer Behaviour - exciting scale up' proposition
London office hybrid 3 days per week
Salary negotiable dep 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.
Measure Protocol are looking for a smart, creative and dynamic Senior Data Scientist to help shape and mould their approach and products to build the best-in-class consumer data company.
At Measure Protocol, they believe in building a team of true owners. That's why they offer stock options to all employees as part of their compensation package, so you share in the value you help create. As Measure grows, so does your stake, aligning our success with yours and giving you a real opportunity to participate in the upside of something meaningful from the ground up.
About Measure
Measure is building the world's first ethical and transparent human data marketplace.
The world we live in is awash in data: what we watch and wear, who we know, what we do, and how we live our lives. Unfortunately, most of this data is owned and controlled by corporations and we have very little say in when and where it gets used, let alone being compensated for its use.
Measure has a bold mission with a lot of complexities, but they believe there is a real opportunity to change how we manage and monetise our data lives with more control, and in a way that benefits us personally, and as a society as a whole with better data-supported decisions.
Measure has recently raised investment from both venture capital and strategic firms and work with some of the world's leading brands to provide them access to consumer behavioural data which has not previously been obtainable.
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, generalised 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.
If this sounds like the role for you then please apply to our retained recruiters, Datatech Analytics, today
