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About the role
Key responsibilities & impact- Design, develop, and productionize ML models
- Build and own Stord's experimentation capability
- Own analytical depth that supports product, operations, and commercial decisions
- Ensure models are effectively used across the business
- Build and lead a high-performing Decision Science function
Requirements
What you’ll need- Practitioner-level ML
- Supervised learning, time-series, segmentation, recommendation systems, and lift measurement expertise
- Experimentation methodology
- Full model lifecycle understanding
- Familiarity with modern data platforms
- Ability to develop junior talent
- Cross-functional credibility with operational leaders, product managers, and engineers
Benefits
Comp & perks- Competitive salary
- Health insurance
- Paid time off
- Professional development opportunities
- Flexible working hours
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningsupervised learningtime-series analysissegmentationrecommendation systemslift measurementexperimentation methodologyfull model lifecycledata platforms
Soft Skills
analytical depthleadershipcross-functional collaborationtalent development