Senior Data Scientist - Consumer Behaviour

Measure Protocol is 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.

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.

The Role:

• Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources 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.
• 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.
• 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.

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

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

London office hybrid 3 days per week.