Zion Cloud Solutions
United States
New
Azure Data Engineer (Contract)
- Bicep
- Infrastructure As Code
- Kafka
- Microsoft Purview
AI Summary
Lead the data science and analytics organization from vision through delivery and operations to drive an AI-powered product. Define company-wide strategies for analytics, experimentation, and applied ML/AI while managing senior leaders and ICs. Requires 12+ years of experience in data science or ML, with 5+ years of leadership in fast-paced environments.
Key Highlights
Drive the transformation of Linktree into an insights- and AI-powered product
Lead the end-to-end data science strategy from raw data collection to user-facing features
Directly partner with the CEO to integrate data as a core business thought partner
Key Responsibilities
Define and drive the company-wide data science strategy spanning analytics, experimentation, and applied ML/AI.
Build data science foundations for financial forecasting and frameworks for company targets.
Make critical decisions on modeling approaches, experimentation infrastructure, and ML/AI systems design.
Contribute to major technical components, critical feature launches, and technical deep-dives.
Collaborate with Engineering, Product, and Design to integrate data capabilities into the product core.
Recruit, mentor, and grow senior leaders and individual contributors within the data organization.
Establish best practices across the entire data lifecycle, including instrumentation and AI validation.
Represent the data function to the executive team and communicate technical tradeoffs and risks.
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Technical Skills Required
Benefits & Perks
Annual wellbeing allowance
Medical, dental, vision, disability and life insurance
Retirement contribution
Generous time off
Employee stock option program
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Nice to Have
Experience scaling teams across multiple geographies
Prior experience in SaaS or Consumer tech
Job Description
We are seeking a dynamic, . This person works closely with Product, Engineering, Design, the Leadership Team, and other stakeholders, and will both set strategy roll up their sleeves when needed to drive a fast moving, dynamic product and growing Data Science organisation in the AI era.As Head of Data Science, you will:
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