Senior Data Scientist - Consumer Behaviour - exciting \'scale up\' proposition

Senior Data Scientist – Consumer Behaviour – exciting scale up' proposition\\n\\nLondon office hybrid 3 days per week\\n\\nSalary negotiable dep on experience to £90,000 + stock options\\n\\nJob Reference J12960\\n\\nPlease note this client is unable to offer sponsorship so please ensure you have full UK working rights. \\n\\nMeasure 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. \\n\\nAt 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.\\n\\nAbout Measure\\nMeasure is building the world's first ethical and transparent human data marketplace. \\n\\nThe 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. \\n \\nMeasure 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. \\n \\nMeasure 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.\\n\\nThe Role:\\nData Cleaning and Preparation: \\nCollect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis.

\\n Statistical Analysis: \\nUtilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. \\n Model Validation and Interpretation: \\nEvaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. \\n Campaign Optimisation: \\nProvide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing.

\\n Advanced Analytics: \\nExplore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. \\nYour Experience and Skills: \\n Data Science: \\nProficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. \\n Econometrics Background Useful: \\nExpertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting.

\\n Media Industry Knowledge: \\nUnderstanding of media landscape, ad formats, audience measurement, and industry KPIs. \\n Communication Skills: \\nAbility to clearly communicate complex statistical concepts and insights to non-technical stakeholders. \\nBusiness Acumen: \\nUnderstanding of business objectives and ability to translate data insights into actionable strategies.

\\nAdditional Skills: \\nMarketing Mix Modelling (MMM): \\nBuild 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. \\nCampaign Optimisation: \\nProvide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. \\nIf this sounds like the role for you then please apply to our retained recruiters, Datatech Analytics, today