Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Datatech Analytics; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading company in the data marketplace is seeking a Senior Data Scientist to join their London office in a hybrid role. The ideal candidate will have expertise in data cleaning, statistical analysis, and model validation, with a strong background in Python and R. This role offers a competitive salary and stock options, focusing on improving media strategies through advanced analytics.

Benefits

Stock Options

Qualifications

• Experience with regression, panel data analysis, and time series forecasting.
• Understanding of media landscape, ad formats, audience measurement, and KPIs.

Responsibilities

• Collect, clean, and prepare large media datasets from various sources for analysis.
• Provide insights to improve media buying strategies, including channel allocation and budget optimization.
• Explore machine learning techniques to enhance insights and model accuracy.

Skills

Data Science

Communication Skills

Business Acumen

Tools

Python

R

SQL

Job description

Senior Data Scientist - Consumer Behaviour - Exciting Scale-up

London office hybrid 3 days per week

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

Job Reference J12960

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

About Measure Protocol

Measure Protocol is building the world's first ethical and transparent human data marketplace. They believe in giving individuals more control over their data and the opportunity to benefit financially from its use. The company has recently raised investment from venture capital and strategic firms, collaborating with leading brands to access consumer behavioural data previously unavailable.

The Role

• Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis.
• Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes.
• Model Validation and Interpretation: Evaluate model accuracy, interpret results, and communicate findings clearly to stakeholders.
• Campaign Optimization: Provide insights to improve media buying strategies, including channel allocation and budget optimization.
• Advanced Analytics: Explore machine learning techniques to enhance insights and model accuracy.

Your Experience and Skills

• Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization.
• Econometrics: Experience with regression, panel data analysis, and time series forecasting.
• Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs.
• Communication Skills: Ability to explain complex concepts to non-technical stakeholders.
• Business Acumen: Ability to translate data insights into actionable strategies.
• Additional Skills: Experience with Marketing Mix Modelling (MMM) and campaign optimization techniques.

If this sounds like the role for you, please apply through our retained recruiters, Datatech Analytics.