Job Opportunities API

WHAT IS SPADE? Financial institutions process billions of transactions every day across cards, ACH, wires, and third party aggregators. But most of that data is difficult to use. Descriptions are inconsistent, merchant names don’t match, and categories vary by payment type. Spade is a data and AI platform that turns messy transaction strings into structured, verified records — and gives teams the tools to act on it across authorization, attribution, analytics, and AI initiatives. Spade leads the market in terms of merchant coverage, matching accuracy, geolocation data, and speed of transaction enrichment. Customers such as, FIS, Bilt, Mercury, Stripe, alongside many other leaders in fintech and financial services, trust Spade's data to enable personalized rewards programs, accurate applied spending rules, precise analytics requests, and innovative AI-powered features. Spade is a fast growing, Series B company backed by industry experts and top tier investors (including Oak HC/FT, a16z, Flourish Ventures, Y-Combinator, and Gradient Ventures). We’re a lean and execution-oriented hybrid team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of background, experience, and opinion. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work. WHAT WILL YOU BE DOING? At Spade, data is the product. As a Data Scientist, you'll build real-time ML/AI systems — from traditional ML and NLP to AI agents — on our proprietary merchant, location, and transaction datasets, turning them into insights financial institutions act on. Working closely with our talented engineering and product teams, you'll help turn ideas into scalable solutions. - Own ML/AI products end-to-end: ideation, prototyping, production - Build automated ML/AI systems that improve Spade's data quality and product performance - Raise the bar on how we develop, deploy, and monitor models — scalable, accurate, robust - (Senior) Help set the data science and product roadmap with leadership - (Senior) Mentor other data scientists and grow the team's practices Note: We're hiring for both Mid and Senior levels across multiple openings; exact level is determined during the interview process. WHAT EXPERIENCE, SKILLS, AND QUALIFICATIONS ARE NECESSARY? - 3+ years building and shipping models in Python, in a fast-paced environment (5+ for senior) - Worked hands-on with engineering and product, not just in a research silo - Strong ML, stats, and data fundamentals (PySpark, pandas, SQL) - A product mindset — you navigate ambiguity and optimize for customer value, not just model accuracy - A collaborative streak — you take feedback well and care about the team's success, not just your own - An AI-forward workflow — coding assistants and LLMs are part of how you already work, and you're excited to push further - Based in NYC with ability to work out of our Flatiron office at least 2 days/week ADDITIONAL FOR SENIOR - 5+ years, with end-to-end ownership of ML/AI products from idea to production - Shipped ML/AI-powered products, ideally customer-facing - A track record of mentoring and raising team standards NICE TO HAVE - Databricks, data pipelines, Hex - Gen AI feature/product development - Fintech experience — especially transaction, merchant, or location data - Early-stage, high-growth startup experience WHY JOIN SPADE? - Be a cultural founder. As an early employee, you’ll play a meaningful role in defining and building our culture. - Get in on the ground floor. We’re a small but well-funded team – joining now comes with limited risk and unlimited upside. - Build the next generation of financial infrastructure. Our products will power the next wave of innovation in fintech, helping our customers deliver better, more transparent products and servic