# Senior/Lead/Staff Applied Scientist at RELEX

- Company: RELEX
- What the company does: RELEX’s unified supply chain and retail planning platform helps retailers, manufacturers, and wholesalers improve forecast accuracy, reduce waste, and automate planning end-to-end.
- Company website: https://www.relexsolutions.com
- Type: Startups (AI role)
- Level: Senior
- Location: Atlanta, GA, United States; Boston, United States; Germany; Helsinki, Finland; London, United Kingdom; Stockholm, Sweden
- Work setup: On-site
- Posted: 2026-09-01
- Apply by: 2026-10-16
- Apply: https://www.relexsolutions.com/careers/jobs/?gh_jid=7962002003
- Page: https://www.1752.vc/careers/jobs/relex-senior-lead-staff-applied-scientist/

## About the role

In response to our fast growth, we're looking for a Product Engineer to help reinvent how RELEX builds and ships forecasting models. As a team, we own forecasting end to end for our retail and wholesale customers — both the new plugin-based models we're building and the models already running in production. We're reinventing how RELEX builds and ships forecasting, moving from a small number of monolithic models to a growing library of purpose-built, plugin-based ones, used by 400 to 500+ customers.

## What they're looking for

- You will design, build and improve our plugin-based forecasting models end to end: feature engineering, testing, and iterating on performance in live customer environments
- You will take forecasting problems from business need to a working model running for a customer, with real ownership over the decisions along the way
- You will work directly across multiple customer environments, figuring out what generalizes and what needs to stay customer-specific
- You will use AI and agentic tools as a core part of how you build, pushing what they can do rather than using them passively
- You will operate with a high degree of autonomy in a distributed team, without a fixed playbook for how the work gets done
- Applied or theoretical understanding of modern forecasting and modelling methods

Tags: Retail Supply Chain Engineering