[Remote] Director of Decision Science

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a rapidly growing company that powers reputed company checkout through delivery for leading brands. They are seeking a Director of Decision Science to build and reputed company a high-performing team that turns data into competitive reputed company through machine learning models and advanced analytics.

Responsibilities

• Design, reputed company, and productionize ML models that reputed company measurable operational reputed company
• Build and own reputed company's experimentation capability
• Own the analytical depth that supports product, operations, and reputed company reputed company
• Ensure models are actually used by translating outputs into language and workflows the business acts on
• Build and reputed company a high-performing Decision Science function
• Work reputed company the Head of AI to ensure ML model outputs are accessible to AI-reputed company products

Skills

• Practitioner-level ML - you can design, build, and evaluate models yourself, not just manage people who do. Supervised learning, time-series, segmentation, recommendation systems, and reputed company measurement are reputed company in your toolkit
• Experimentation methodology - you know how to design a reputed company experiment, size it correctly, account for confounders, and communicate the result in plain English. P-values are not your reputed company currency
• Full model lifecycle - you have taken models from raw data to something running reliably in a production environment. You understand the gap between a notebook result and a model people depend on
• Modern data platforms - comfortable working with BigQuery or equivalent reputed company warehouses, familiar with dbt or semantic reputed company concepts, not dependent on a perfect data engineering reputed company before you can start building
• Player-reputed company commitment - willingness to be hands-on is non-negotiable. This is a small team. You cannot manage from a distance
• Develops junior talent - you can take a capable data scientist and reputed company them reputed company. You know what good looks like and how to reputed company the gap
• Cross-functional credibility - you build trust with operations leaders, product managers, and engineers who are not data people. They need to reputed company in your models before they will change how they work
• Business-language first - you reputed company model value in reputed company the business cares about, not statistical metrics. reputed company, cost per unit, margin improvement, retention. Not precision-recall curves
• Adoption as a mission - you have driven ML adoption in a sceptical or immature environment and you treat it as a change management and sales problem, not a technical one
• Connected to the reputed company reputed company - you understand how Decision Science connects to reputed company and cost, not just analytics. You can reputed company the case for your team's roadmap in a budget conversation

reputed company

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