Join Spade as a Data Scientist to build ML/AI systems that enhance transaction understanding for top fintechs.
Posted by employer 3 months ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
What you'll build
Must have
Nice to have
Practical constraints
AI in the day-to-day
An AI-forward workflow — coding assistants and LLMs are part of how you already work.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Data Scientist at Spade will focus on developing and deploying machine learning and AI systems that enhance the understanding of financial transactions for clients in the fintech sector. Proficiency in Python, machine learning, and data manipulation tools like PySpark and SQL is essential, along with a collaborative mindset and a product-oriented approach. This position is suitable for mid-level and senior candidates, particularly those with experience in building customer-facing ML products and mentoring teams. Spade, a Series B startup, emphasizes a culture of diversity and innovation, making it an appealing environment for those looking to make a significant impact.
Joblaze insights
Quick facts
From the original posting
At Spade, data is the product — and you'll be one of the people shaping it. As a Data Scientist, you'll build the real-time ML/AI systems that power how top fintechs and financial institutions understand every transaction: from traditional ML and NLP models to AI agents, all running on our proprietary merchant, location, and transaction datasets. Your work won't sit in a research silo — you'll partner closely with engineering and product to take ideas from prototype to production, directly shaping the accuracy, speed, and intelligence customers like FIS, Bilt, Mercury, and Stripe rely on every day.
Own the full lifecycle of ML/AI products. From first prototype to production system serving real customers
Build the automated systems behind Spade's data quality. The models and pipelines that keep our accuracy and coverage ahead of the market
Set the bar for how ML gets built here. Pushing for models that are not just accurate, but scalable, robust, and production-ready from day one
Help shape where the data science team goes next. Partnering directly with leadership on roadmap and priorities (Senior role)
Grow the team around you. Mentoring other data scientists and raising the practices we build on (Senior role)
Note: We're hiring for both Mid and Senior levels across multiple openings; exact level is determined during the interview process.
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
Are able to work remotely within the US or Canada. We are also open to NYC-based candidates who would prefer to work hybrid (2 days/week) out of our Flatiron HQ.
5+ years experience, 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
Databricks, data pipelines, Hex
Gen AI feature/product development
Fintech experience — especially transaction, merchant, or location data
Early-stage, high-growth startup experience
Be a cultural founder. As an early employee, you’ll play a meaningful role in defining and building our culture.
Competitive Compensation. Data-driven salaries that reward performance and ownership.
At Spade, we view total compensation as consisting of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they bring to our team.
Standard company text repeated across Spade's postings is omitted here.