Senior Data Scientist - Consumer Behaviour

London office hybrid 3 days per week. Salary negotiable depending on experience to £90,000 + stock options. Job Reference J13004. Please note this client is unable to offer sponsorship so please ensure you have full UK working rights.

This role is with Measure Protocol, working in partnership with Datatech Analytics. The position offers stock options to all employees as part of the compensation package, aligning personal success with the company’s growth.

Overview

Measure Protocol is building the world’s first ethical and transparent human data marketplace. We are seeking a smart, creative and dynamic Senior Data Scientist to help shape and refine our approach and products to build a best-in-class consumer data company.

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 (e.g., regression analysis, time series modelling, panel data analysis) to identify relationships between media spend and business outcomes.
• Model Validation and Interpretation: Evaluate model accuracy and robustness, interpret results, and communicate findings to stakeholders clearly.
• Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing.
• Advanced Analytics: Explore new data analysis techniques, including machine learning, to enhance model accuracy and uncover deeper insights.
• MMM Modelling: Build and maintain complex marketing mix models to assess the incremental impact of different media channels (TV, digital, print) on sales, considering seasonality and competition.

Experience and Skills

• Data Science: Proficient in Python, R, and SQL; experience with data manipulation, imputation, statistical modelling, and visualization libraries.
• Statistical Methods: Expertise in 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: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders.
• Business Acumen: Ability to translate data insights into actionable strategies aligned with business objectives.
• Additional Skills: Experience building and maintaining MMM models to assess incremental impact across channels and informing media buying decisions.

Seniority and Employment

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Analyst and Science
• Industries: Marketing Services, Consumer Services, and Business Consulting and Services

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