Overview
Senior Data Scientist - Consumer Behaviour - exciting scale up proposition
London office hybrid 3 days per week. Salary negotiable dependent on experience to £90,000 + stock options. Job Reference J12960.
Please note this client is unable to offer sponsorship; 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. Measure builds a world where data is owned and controlled by individuals, with a focus on ethical and transparent use of data.
Measure has recently raised investment and works with leading brands to provide access to consumer behavioural data.
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 clearly.
- 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.
- Data Science: Proficiency in Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries.
- Econometrics Background (Usefulness): Expertise in 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) to assess the incremental impact of media channels on sales, considering seasonality and competition.
Qualifications and Experience
- Strong programming skills in Python, R, and SQL.
- Experience with econometrics, time series, panel data, and predictive modelling.
- Experience working with large media datasets and knowledge of media KPIs.
- Ability to communicate complex results to non-technical audiences.
Next steps
If this sounds like the role for you, please apply to our retained recruiters, Datatech Analytics, today.
We are recruiting for this role and will review applications on an ongoing basis.
