Senior Data Scientist

Descripción del trabajo About ComúnComun's mission is to help Hispanic immigrants turn their hard work into upward mobility — starting with financial services that support their transition from a cash-based system to the digital economy. We offer checking accounts that can be opened using 100+ types of Latin American IDs, access to over 90K locations nationwide to deposit cash, international transfers to 17 countries at market-leading rates, and 24/7 bilingual customer support with 5 min SLA across email, chat, and phone. We currently process over $1.5B in annual transaction volume and surpassed $100M in annualized international transfers just six months after launch. Comun has raised +$50M from top investors including Redpoint, Costanoa Ventures, and South Park Commons. Our team brings experience from leading fintech companies like Brex, Nubank, and Mercury. We believe immigrants are the ultimate entrepreneurs — driven by relentless ambition and a vision for a better future for their families. Comun exists to serve them throughout their journey. Learn more at comun.app/nosotros 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. Competitive salary, equity, and 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. #J-18808-Ljbffr