Applied Data Scientist, Fintech Initiatives

Triple Whale is the AI operating system built for modern ecommmerce. We help you see what's actually working in your business, what's not, and what to do next. Then we take action for you — pausing the underperforming ad, generating the next batch of creative, flagging the inventory risk before it bites.

We pull every signal in your business into one place, and put it on the most trusted measurement foundation in the industry. And on top of that, we give you the most actionable AI in commerce — Moby 2 — letting you tap any LLM you want, grounded in the full context of your business. Moby 2 doesn't just surface insights, it executes decisions for you, with automations that make the rest of your stack smarter.

The result: more than 60,000 brands like Pressed Juicery, OUAI, and True Classic turn mountains of complex data into actions that actually grow profit, at a speed and scale that is not humanly possible.

Triple Whale has strong product–market fit and a growing base of ecommerce merchant data that most fintech lenders can only dream about. We're now building on that asset to launch financial products — capital access, growth financing, and smarter operating tools — designed specifically for the brands we serve.

We're looking for an Applied Data Scientist to own the data science strategy behind this initiative.
This is a high-ownership, senior role sitting at the intersection of product, data science, and capital markets. You'll build statistical and ML models end to end — from conception through production — and turn complex financial-product questions into reliable, customer-facing decisioning systems. You'll work across Product, Engineering, Finance, Operations, Legal, and external capital partners to define how Triple Whale evaluates financial-product opportunities, manages risk, measures performance, and scales responsibly.

The right person brings strong modeling depth, sharp product judgment, and the business context to work in ambiguity. Fintech, lending, credit, or risk experience is strongly preferred — but we're also open to senior data scientists from adjacent domains who've built high-stakes models in complex, data-rich environments.

• →Own the end-to-end data science strategy for Triple Whale's financial products — from roadmap and model development to production deployment and governance.
• →Build models and decisioning frameworks across the full lending lifecycle: merchant eligibility, underwriting, risk assessment, repayment behavior, and growth forecasting.
• →Translate Triple Whale's ecommerce, revenue, marketing, and operational data into actionable signals that power financial-product decisions and partner evaluations.
• →Partner with Product, Engineering, Finance, Legal, and Operations to turn analytical work into scalable data products, APIs, internal tools, and explainable recommendations that hold up in commercial and regulatory contexts.
• →Design measurement frameworks that span funnel performance, repayment outcomes, customer adoption, partner performance, and long-term unit economics.
• →Establish model validation, monitoring, and governance practices appropriate for high-stakes financial decisioning.
• →Define the long-term fintech data science roadmap — what to build internally, what to partner on, and where modeling can create durable competitive advantages.

• 6+ years of applied data science, machine learning, quantitative modeling, or related experience.
• Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
• Experience leading complex data science initiatives from ambiguous business problems through model design, validation, deployment, and iteration.
• Strong modeling depth across areas such as predictive modeling, risk modeling, forecasting, classification, causal inference, experimentation, or statistical decisioning.
• Strong Python and SQL skills, with experience working in production or production-adjacent data environments.
• Ability to build models that are not just accurate, but explainable, monitorable, and useful to business operators.
• Strong product judgment and ability to partner with Product and Engineering on customer-facing or internal decisioning systems.
• Comfort working with cross-functional stakeholders, including executives, Finance, Legal, Operations, and external partners.
• Excellent communication skills, especially the ability to explain technical tradeoffs, model limitations, and business implications clearly.
• Ability to operate with high ownership in an early-stage initiative where the roadmap is still being defined.

• Background in fintech, lending, credit, underwriting, risk, payments, banking, insurance, capital markets, or financial-services data science — ecommerce, DTC, retail, or merchant financing experience is a plus.
• Proven track record building or evaluating models used in financial decisioning, eligibility, pricing, fraud/risk, or portfolio performance — including time-series forecasting, repayment modeling, or cash-flow modeling.
• Familiarity with model governance, explainability, compliance-aware analytics, and responsible deployment in regulated or high-trust environments.
• Hands-on work with merchant, ecommerce, marketplace, payments, or revenue data.
• Has evaluated third-party data providers, fintech platforms, lenders, or capital partners from a data and risk perspective; familiarity with partner integrations, decision APIs, or embedded-finance products is a plus.
• Has built or scaled an analytical function, operating model, or roadmap for a new product line.

Triple Whale sits on something most fintech teams would kill for: deep, real-time visibility into how thousands of ecommerce brands actually operate — their revenue, marketing, retention, and growth patterns. This role puts you at the center of turning that data advantage into a financial products business. You'll be the first person to define the modeling roadmap, build the decision frameworks, and establish the data science foundation that everything else scales on. It's a rare chance to do genuinely novel work with genuinely differentiated data.

And you won't be doing it in a vacuum. From day one, you'll have a seat at the table with Product, Engineering, Finance, Legal, and external capital partners — shaping not just the models, but the strategy behind which products we build, which partners we work with, and how Triple Whale enters fintech in a way that's fast, responsible, and built to last. If you've been looking for a role where the scope is real, the data is rich, and your fingerprints are on something that matters — this is it.

• We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers.
• We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage. 
• We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together. 
• We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths.
• We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other.

If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.

Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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