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Data Scientist

🏢 Workhelix · 📍 San Francisco, Ca.
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Position Summary & Responsibilities

Who We Are

Workhelix is an enterprise SaaS company with a single goal: helping organizations get the most out of their AI investments. 

Our people and software combine to give leaders answers to the three critical questions about the business value of AI: 

  • Where are our top opportunities to create value with AI?
  • Are our current efforts actually delivering? What’s their ROI?
  • How can we accelerate and increase the benefits of our AI?

To find answers for each customer, Workhelix applies our unmatched expertise in economics, AI, and data science. We have pioneered a task-scoring method to identify top GenAI opportunities, ensuring clear, data-driven deployment strategies. Our ROI monitoring suite applies Nobel Prize-winning economics to provide accurate, ongoing insights into the impact of GenAI implementations. Renowned AI and Economics thinkers including Andrew Ng, and cofounders Andy McAfee and Erik Brynjolfsson stand proudly behind our mission.

We maintain a culture established on five key principles. For more information on our leadership principles, please visit the careers page of our website.

Role

Workhelix is looking for a Data Scientist to own the analytical engine behind Nucleus, our core product, reporting directly to the Head of Engineering.

That engine starts by taking in different customer data sources and reconciling them into a structured, unified model. From there it runs the analyses that identify where AI can create value and how a company's current practices line up against those opportunities. The output is specific, actionable guidance: what to do next, for which teams, and why.

You will own that work end to end. You will also extend it; customers arrive with questions our existing analyses don't answer, and part of the job is deciding when to adapt something we have and when to build something new.

This is a production engineering role as much as an analytical one. You are not building notebooks for someone else t

🎯 Candidate Preparation Guide For Workhelix Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Examines your data-driven command of labor economics, workforce transformation, and generative AI adoption patterns in the enterprise.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Relying on generic AI hype without empirical evidence of workforce impact.
  • 2. Inability to speak fluently with CHROs and enterprise strategy heads.
  • 3. Neglecting change management and human adoption challenges.
✨ Recommended Role Alignment Hook:

I help global enterprises map human workflows to AI capabilities, driving structural productivity gains rather than incremental tweaks.

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