Senior Data Scientist - MTA/Marketing Mix Modelling

Freshminds Interim; Greater London; Hybrid; GBP 70,000 - 80,000; Full time

Job summary

An established industry player is on the lookout for a Senior Data Scientist specializing in Multi Touch Attribution and Marketing Mix Modelling. This role involves leveraging econometric methodologies to assess marketing effectiveness and build actionable models that drive insights. The ideal candidate will have over five years of experience in Data Science, with a strong command of tools like Snowflake, SQL, Python, and R. Join a dynamic team where your analytical skills will translate into strategic recommendations, shaping the future of premium lifestyle products in a fast-paced environment. Embrace the opportunity to work in a hybrid setting, contributing to innovative projects that make a real impact.

Qualifications

• 5+ years of experience in Data Science with expertise in Snowflake, SQL, Python, and R.
• Demonstrable MTA/MMM modelling experience.

Responsibilities

• Leverage econometric and MTA methodologies to assess marketing effectiveness.
• Build MTA models to analyse operations and drive actionable insights.

Skills

Data Science

Snowflake

SQL

Python

R

MTA/MMM Modelling

Education

Advanced degree in a quantitative field

Tools

Excel

Job description

Senior Data Scientist - Multi Touch Attribution/Marketing Mix Modelling

About the job

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 MTA 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-£80,000
• Start Date: ASAP
• Hybrid working