About Común
Común’s mission is to help Hispanic immigrants turn their hard work into upwards mobility — starting with financial services that enable the transition from cash to the digital economy.
We offer checking accounts that immigrants can open using more than 100+ IDs from Latin America; more than 90K locations across the country to deposit cash; international transfers at market leading rates to 17 countries in Latin America; and 24/7 bilingual customer support with <5 min SLA across email, chat and phone.
A year ago we launched our own banking infrastructure, resulting in 100x revenue growth and 4x growth of ARPU. We currently process over $1.5B in transaction volume on a yearly basis, and crossed $100M in annualized international transfers just six months after launching them.
We’ve raised $30M from Redpoint, Costanoa Ventures, and South Park Commons, among others. Most of our team comes from leading fintech companies like Brex and Nubank.
We believe immigrants are the ultimate entrepreneurs, carrying a relentless work ethic in search of a better future for their families. Común exists to serve them throughout their journey.
Learn more at comun.app/nosotros
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About The Role
We’re looking for a Data Scientist to help us build a deeper understanding of our users, detect and prevent fraud, and drive smarter decisions across Product, Risk, and Growth.
You’ll work on everything from designing data models to building predictive systems — helping us leverage data science to shape both product and business strategy.
This is a hands-on, high-impact role where you’ll help lay the foundation of Común’s data science function during one of the most exciting stages of growth.
What You’ll Do
Develop models and experiments to identify trends, detect anomalies, and optimize decision-making.
Collaborate with Product, Risk, and Growth to design and evaluate A/B tests and predictive systems.
Build and maintain data pipelines and tools to support scalable analytics.
Translate raw data into insights that improve customer experience and operational efficiency.
Contribute to the design of fraud detection, credit, and risk-scoring models.
Communicate findings clearly to technical and non-technical stakeholders.
What We’re Looking For
3–5+ years of experience as a Data Scientist, ideally in fintech or consumer products.
Strong background in statistics, modeling, and machine learning.
Proficiency in Python or R, with experience using frameworks like pandas, scikit-learn, or TensorFlow.
Strong SQL and data visualization skills (Looker, Metabase, or similar).
Experience working with cross-functional teams to turn insights into product or operational improvements.
Startup mindset: analytical, resourceful, and comfortable working in fast-moving environments.
Why You’ll Love Working Here
You’ll have a direct, measurable impact on a fast-growing company’s core strategy.
Work on data that actually changes lives — improving financial access for immigrant communities.
Join a collaborative, mission-driven team during a transformative growth phase.
Competitive salary, equity, and benefits.
Team
We are a team of 40 based out of New York, coming from industry-leading companies like Brex, Nubank, Cruise, and Verkada. Over half of us are immigrants, and have experienced the problems we’re solving first hand. We value customer focus, high ambition, principled decision-making, and deep trust.
Full Time Employee Benefits
Competitive salary and generous equity
Medical, dental, and vision insurance
Gym Pass subscription
Daily office lunch in NYC Office
Paid parental leave
Flexible PTO
Remote-friendly when traveling
Company-wide offsites
401(k) for US employees
Visit to our NYC Office for remote team members
Visa sponsorship if applicable
Común is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.
