Senior Data Scientist: Marketing Attribution & MMM

Senior Data Scientist: Marketing Attribution & MMM

Full-Time 60750 - 74250 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data science projects on marketing attribution and incrementality for ecommerce brands.
  • Company: Fospha, a forward-thinking company in the heart of London.
  • Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
  • Other info: Join a dynamic team that values innovation and professional growth.
  • Why this job: Make a real impact by delivering insights that drive ecommerce success.
  • Qualifications: Experience in data science, strong analytical skills, and a passion for mentoring.

The predicted salary is between 60750 - 74250 £ per year.

Fospha is seeking a Data Scientist in London to own production modelling across attribution, MMM, and incrementality.

You will lead projects end to end, choosing methodologies and communicating results to clients and internal teams.

You’ll work with a team that values high agency, rigorous QA, and strong analytics foundations.

You will mentor colleagues, continually expand your modelling toolkit, and collaborate across the data science stack to deliver impactful insights for ecommerce brands.

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Senior Data Scientist: Marketing Attribution & MMM employer: Fospha

Fospha is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that prioritises innovation and collaboration. As a Senior Data Scientist, you will have the opportunity to lead impactful projects while mentoring colleagues and expanding your skill set in a supportive environment. With a focus on professional growth and a commitment to delivering meaningful insights for ecommerce brands, Fospha stands out as a rewarding place to advance your career.

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Contact Details:

Fospha Recruitment Team

We think you need these skills to ace Senior Data Scientist: Marketing Attribution & MMM

Communication Skills
SQL
Problem-Solving Skills
Python
Automation
Data Engineering
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