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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
  
  

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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