Senior Data Scientist - MTA/Marketing Mix Modelling

ZipRecruiter; London; Hybrid; GBP 70,000 - 80,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to join their dynamic team. This role focuses on leveraging advanced econometric methodologies and MTA modelling to assess marketing effectiveness and drive strategic recommendations. You will be responsible for overseeing data collection and analysis, utilizing tools like SQL and Python to create impactful models. This opportunity offers a chance to work in a hybrid environment, contributing to premium lifestyle products while translating complex data into actionable insights. If you're passionate about data science and ready to make a significant impact, this role is for you.

Qualifications

• 5+ years of experience in Data Science with expertise in MTA/MMM modelling.
• Proven ability to translate complex analytics into actionable insights.

Responsibilities

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

Skills

Data Science

MTA/MMM Modelling

SQL

Python

R

Excel

Education

Advanced Degree in Quantitative Field

Tools

Snowflake

Job description

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 .
• 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