Job Description
What you’ll do
We’re looking for an Applied ML Lead Scientist who blends predictive modelling & complex analysis with AI strategy and scalable delivery. You will own high-impact models (forecasting, optimization, causal inference) and shape the patterns, platforms, and guardrails that let teams ship AI at scale (agentic workflows, MLOps). You’ll partner across Merchandising, Dealers, and Engineers to turn models into value, deployment faster, create reusable components, and measurable business outcomes.
Outcomes & KPIs (what success looks like)
· Business impact: Incremental sales & margin lift, markdown recovery ratio, inventory turns, stock-out reduction.
· Model performance: Forecast/optimization accuracy, causal validity, lift vs. baseline, drift & stability metrics.
· Scale & reuse: # of workloads on common patterns (feature/embedding stores), service reliability (SLOs), time-to-production.
· Adoption & enablement: Utiliz...
We’re looking for an Applied ML Lead Scientist who blends predictive modelling & complex analysis with AI strategy and scalable delivery. You will own high-impact models (forecasting, optimization, causal inference) and shape the patterns, platforms, and guardrails that let teams ship AI at scale (agentic workflows, MLOps). You’ll partner across Merchandising, Dealers, and Engineers to turn models into value, deployment faster, create reusable components, and measurable business outcomes.
Outcomes & KPIs (what success looks like)
· Business impact: Incremental sales & margin lift, markdown recovery ratio, inventory turns, stock-out reduction.
· Model performance: Forecast/optimization accuracy, causal validity, lift vs. baseline, drift & stability metrics.
· Scale & reuse: # of workloads on common patterns (feature/embedding stores), service reliability (SLOs), time-to-production.
· Adoption & enablement: Utiliz...
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