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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
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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