Senior Data Scientist - MMM

Freshminds Interim; Greater London; Hybrid; GBP 70,000; Full time

Job summary

A leading global premium lifestyle products company is seeking an experienced Senior Data Scientist to leverage econometric methodologies and drive actionable insights. This role requires over 5 years of experience in Data Science, particularly in MTA/MMM modelling, and the ability to manage stakeholder relationships in a fast-paced environment. A hybrid working model is offered, along with a competitive salary.

Qualifications

• 5+ years of experience in Data Science.
• Demonstrable MTA/MMM modelling experience.
• Strong quantitative perspective on customer journeys.

Responsibilities

• Leverage econometric methodologies to assess marketing effectiveness.
• Oversee data collection and validation.
• Build MTA models to drive insights.

Skills

Data Science

Snowflake

SQL

Python

R

Education

Advanced degree in a quantitative field

Tools

Excel

Job description

Overview

Senior Data Scientist - Multi Touch Attribution/Marketing Mix Modelling

Our client is a leading global company specializing in premium lifestyle products across various categories, including apparel, accessories, and home. They are currently seeking an experienced Data Scientist with specific marketing modelling to join their team.

Responsibilities

• Leverage econometric and MMM methodologies to assess marketing effectiveness and provide strategic recommendations
• Oversee data collection, including extraction, manipulation, analysis, and validation, ensuring proper use of KPIs in modelling
• Build MTA models to analyse operations and drive actionable insights
• Utilise Excel, SQL, and Python to process, transform, and create models, while presenting findings to stakeholders at all levels

Requirements

• 5+ years of experience in Data Science, with expertise in Snowflake, SQL, Python, and R
• Demonstrable MTA/MMM modelling experience
• Strong understanding of customer journeys from a quantitative perspective and experience in Data Science
• Proven ability to translate complex analytics into actionable insights, with experience in retail or luxury retail preferred
• Advanced degree in a quantitative field, with the ability to manage multiple stakeholders in a fast-paced environment

Details

• Duration: 12 months, with opportunity to extend
• Salary: £70,000
• Start Date: ASAP
• Hybrid working