Lead Data Scientist

INOVERSE GROUPE; Manchester; Hybrid; GBP 70,000 - 85,000; Full time

Job summary

Join a well-funded stealth eCommerce startup in Manchester as a Data Science Manager. You'll lead the data science function, working on critical aspects like marketing performance and customer segmentation while utilizing advanced tools like Meta's Robyn. This is a unique opportunity to shape data-driven strategies in a collaborative and innovative environment.

Qualifications

• Hands-on experience in data science, ideally within eCommerce or marketing science.
• Proven ability to lead or mentor a data team while staying technically involved.
• Exposure to MLOps tooling and deployment on cloud environments.

Responsibilities

• Take ownership of the data science function and mentor the team.
• Work on forecasting, marketing performance, and customer segmentation.
• Utilize Meta's Robyn for marketing mix modeling and improve marketing strategies.

Skills

Python

SQL

MLOps

Data Science

Team Leadership

Marketing Science

Job description

3 days ago Be among the first 25 applicants

Stealth eCommerce Startup

I'm working with a well-funded stealth startup in the eCommerce space that's gearing up for a big launch. They're building a platform that rethinks how online retail works, with data and experimentation at the core of their approach.

Data Science Manager

Up to £85,000

Manchester - Hybrid

Stealth eCommerce Startup

I'm working with a well-funded stealth startup in the eCommerce space that's gearing up for a big launch. They're building a platform that rethinks how online retail works, with data and experimentation at the core of their approach.

They're now hiring a Data Science Manager to take ownership of the data science function. This is a hands-on role with leadership responsibility, ideal for someone who enjoys building and mentoring teams but still wants to stay close to delivery.

You'll be working across key areas like forecasting, marketing performance, customer segmentation and personalisation. A big focus in the early stages will be shaping and improving their marketing mix using Meta's Robyn, so experience using or managing teams that have worked with Robyn is important.

They're also looking for someone with a solid grasp of MLOps principles to help productionise models and maintain performance over time. Their stack includes GCP, so experience working in that environment would be a big plus.

What They're Looking For

• Hands-on experience in data science, ideally within eCommerce, marketing science or another consumer-focused space
• Proven ability to lead or mentor a data team while staying involved in day-to-day technical work
• Strong Python and SQL skills, with experience building models, running experiments and influencing business decisions
• Experience with Robyn (Meta's open-source MMM tool) or managing teams who have used it commercially
• Exposure to MLOps tooling and workflows, including monitoring, deployment and versioning
• Experience deploying on a cloud environment
• Comfortable working in a fast-moving, early-stage environment
  
  

This is a rare chance to build something from the ground up and shape how data is used across product and growth. You'll be working closely with engineering, marketing and the founding team to scale a modern, data-first platform.

The team is based in Manchester and works flexibly, typically spending a couple of days a week in the office. The culture is collaborative, ambitious and focused on solving real problems with smart, pragmatic solutions.

If this sounds like something you'd like to hear more about, feel free to get in touch. Happy to share more detail.

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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Science

• Industries

  IT System Data Services

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