Senior Decision Scientist, Analytics

We measure a great deal and standardise little of it. You will own internal analytics outright: deciding what is worth measuring, building it, and getting the organisation to believe the result. That covers the company-level metrics leadership runs on, and the queue of ad hoc questions marketing and management bring, where the real work is deciding which ones deserve an answer.

About CUBE AI

CUBE AI is an Agentic Crime Prevention Platform, built at the intersection of agentic AI, cybersecurity, and fraud prevention. We serve the institutions on the front line of an exploding wave of AI-powered crime: banks, fintechs, and the platforms criminals cannot operate without. Our mission is ambitious: make the world a safer place. How we do it is the part we're most excited about, and the part we're happy to walk you through in a conversation rather than on the open internet.

Why this is the seat to take

This is a rare seat on a rocket ship. CUBE AI is early, exceptionally ambitious, and backed by some of the world's leading investors. Our founders have built and scaled startups to unicorn valuations and exits, and have run mega teams at mega companies. We are building the company that puts the institutions the modern economy runs on back on offense against AI-powered crime. The closest analogy is joining Palantir in its early days: a hard mission, a category we're defining rather than entering, and a small group of exceptional people compounding fast. If you want a comfortable role, this isn't it. If you want the defining chapter of your career, your best work alongside people who make you sharper, keep reading.

What you'll do

• Own internal analytics end to end: what gets measured, what gets built, and whether anyone trusts it.
• Establish the company-level metrics leadership runs on, and make them reliable enough to act on.
• Build the proofs of concept yourself, then get them adopted.
• Choose and standardise how the company measures things, so two teams stop reporting the same thing differently.
• Own the ad hoc analysis queue, and decide what earns an answer rather than answering everything.
• Partner with engineering to hand off what proves valuable, so it runs reliably without you.
• Tell leadership what the numbers mean, including when the answer is unwelcome.

Our stack

• Python and SQL for analytics
• BigQuery as the analytical layer, with Cloud Storage
• Google Cloud Platform
• The metric and reporting layer is not settled. Choosing it is part of the role.
• Real-time dashboards and company-level reporting are part of what needs to be built.
• AI-assisted, agentic development workflows

What we're looking for

The bar (non-negotiable, every role):

• Extreme drive and passion for the work and the mission.
• Extreme ability to learn fast and operate with confidence in uncertainty.
• Extreme IQ and EQ. You raise the level of every room, and you lose an argument gracefully the moment someone's right.

For this role specifically:

• You have worked in analytics, data science or decision science, and changed what the business decided.
• You have defined a company-level metric that stuck, and can explain why it stuck.
• Strong SQL and Python, and the statistical judgment to know when a number is not evidence.
• You can spot when the data needed to answer a question is missing, unreliable, or badly instrumented, and work with engineering to fix it.
• The ability to refuse an analysis request and keep the relationship.
• Comfortable presenting to leadership without a translator.
• Fluent written and spoken English.

Bonus points

• Experimentation and causal inference.
• Building a metrics or semantic layer from scratch.
• Building real-time or operational dashboards from scratch.
• Being the first analytics person in an organisation.
• An adversarial domain: fraud, security or abuse.

How we work and who thrives here

Our core locations are Lithuania, London, and New York, and we consider remote-first candidates who can travel as needed for their role. We write more than we meet and move at warp speed. We're an AI-first company: every person here is amplified by a layer of AI agents, and we scale capability, not headcount. We don't buy services, we buy results. We're drivers, not passengers, so we hire people who go and do it without waiting for permission. We move fast, and we use judgment where it counts: we hold sensitive data and the trust of the institutions we protect, and we never cut corners there. Our culture runs on five virtues:

• A pedantic bar for quality. Work that is thorough, complete, and on time. We trust each other to deliver, fully.
• Radical ownership. See it, own it, fix it. Never defer a problem or an opportunity. You will never be reprimanded for taking initiative.
• Relentless energy and audacity. Building something exceptional demands enormous energy. We move forward with maximum drive.
• Automate everything. We scale the capability of our people, not the headcount. We always hunt the 10x multiplier, working alongside AI agents rather than piling on process.
• Have fun. We work with people we genuinely enjoy. It gets us through the hard stretches and keeps politics out.

What's in it for you

• Uncapped growth. In a company moving this fast, scope finds the people who can carry it. Ownership and title are earned in months, not years.
• Real self-realization. This is a place to become the most capable version of yourself, next to people operating at the top of their game.
• A direct line to senior product and engineering leaders, and a real say in where the product goes.
• You share in the outcome. When the company wins big, you win big.

What we offer

Join a rocket ship. Let's discuss compensation and the rest of the details on our call.

CUBE AI is an equal-opportunity employer. We welcome applicants of every background and will support any accommodations you need during the hiring process.