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

Datatech

Greater London

Hybrid

GBP 76,000 - 90,000

Full time

8 days ago

Job summary

A consumer data company is seeking a Senior Data Scientist to enhance their products and strategies through advanced data analysis. The role involves data cleaning, statistical analysis, and providing insights for media optimization. The ideal candidate is proficient in Python, R, and SQL, with strong econometric skills. This hybrid position offers a salary up to £90,000, plus stock options.

Benefits

Stock options

Qualifications

  • Proficient in data manipulation, imputation, and statistical modelling.
  • Understanding of econometric techniques like regression analysis.
  • Ability to communicate complex concepts to non-technical stakeholders.

Responsibilities

  • Collect, clean, and prepare large datasets for analysis.
  • Utilise econometric techniques to identify relationships between media spend and outcomes.
  • Provide data-driven insights to inform media buying strategies.

Skills

Python
R
SQL
Statistical modelling
Data visualization
Econometrics
Marketing Mix Modelling
Communication skills
Job description
Overview

Senior Data Scientist - Consumer Behaviour – exciting scale up proposition. London office hybrid, 3 days per week. Salary negotiable dependent on experience up to £90,000 + stock options. Job Reference J12960. Please note this client is unable to offer sponsorship, so 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 offers stock options to all employees as part of the compensation package, aligning success with yours as the company grows.

About Measure: Measure is building the world\'s first ethical and transparent human data marketplace. The world is data-rich, but much of it is owned by corporations. Measure aims to change how data is managed and monetised with more control and better data-supported decisions.

Measure has recently raised investment from venture capital and strategic firms and works with leading brands to provide access to consumer behavioural data that has not previously been obtainable.

Role and Responsibilities
  • 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 Python, R, and SQL, including data manipulation, data imputation, statistical modelling, and visualization libraries.
  • Econometrics Background Useful: 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 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 MMM models to assess the incremental impact of different media channels on sales, considering 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, please apply to our retained recruiters, Datatech Analytics, today!

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