Data Scientist

The posting, as Workhelix wrote it

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 to productionize. You write the code that ships, runs in containers, calls external services, and executes in our cloud infrastructure. You work in parallel with our product engineers and forward-deployed engineers, in their codebases as well as yours.

It is also a force-multiplier role. A meaningful part of your impact will come from building internal tools and raising the analytical fluency of the whole company, so that strategists, engineers, and leadership can answer their own questions instead of queuing behind you.

You are the only data scientist, so you set the roadmap. You will gather needs from forward-deployed strategists and product engineers, spot the patterns showing up across customers, decide what matters most, and sequence the work. This is an individual contributor role today with a clear path to leading a team as it grows.

Key Responsibilities

What You’ll Do

Own the analytical pipeline

• Own the data mart and the ETL that unifies disparate customer systems into a single mod

[…]
a colleague

• Meet the strategists and engineers who depend on this work and heard what customers are actually asking for
• Run analytical work independently, including for customers whose data doesn't fit the existing shape
• Have opinions about what's missing and where the method or the pipeline is weakest

By 60 days

• Made real contributions to the methods themselves, not just run the ones that exist
• Something you built is in production and running against customer data
• Shaping the data science roadmap and able to defend your priorities against competing asks
• Comfortable fielding methodology questions from internal teams and from customer stakeholders
• Know which recurring customer questions should become core product and which should stay custom

By 90 days

• Own the data science roadmap and the sequencing behind it
• Other people can depend on what you've built, in product and internally
• At least one piece of this work is legible enough that someone outside data science can answer their own question with it
• Set the standard for analytical rigor at Workhelix, people bring you hard questions, and the answers hold up

Base salary range 184K - 222K + Equity + Health Benefits
What You’ll Get

• Competitive compensation package and benefits.
• Chance to learn and collaborate with some of the most famous researchers in the AI and digital economy space: Andrew Ng, Erik Brynjolfsson, Andy McAfee, and Daniel Rock.
• The unique opportunity to help build a company, culture, and products from the ground up with a team that values healthy working practices.
• A high-trust, high-autonomy work environment.

At Workhelix, we stand committed to ensuring an environment of mutual respect where equal employment opportunities are available without any discrimination. We believe diversity is critical to our success. Selection for employment will solely be based on qualifications, merit, and business needs. We encourage all qualified individuals to apply!