Lead Data Scientist

Fundwell • New York, NY

2d • Onsite

About The Position

Fundwell is a modern business financing platform redefining how small and medium-sized businesses access capital. We deliver fast, trusted funding solutions through a combination of cutting-edge technology and personalized service. We are on a mission to help businesses thrive by simplifying and accelerating the financing process. We're seeking an exceptional Lead Data Scientist to drive AI/ML innovation within our Technology team. In this role, you'll architect and deploy advanced AI/ML systems while shaping our data science strategy. You'll partner closely with Product and Revenue leadership to transform our core business through intelligent automation, predictive insights, and data-driven decision-making.

Requirements

• Deep expertise analyzing diverse data types—financial, commercial, behavioral, demographic, telephonic—across various formats including structured, unstructured, time series, and real-time streaming data
• Strong command of the complete ML lifecycle from problem formulation through production deployment, monitoring, and iteration
• Proficiency with modern ML frameworks, cloud platforms, and MLOps tools for building scalable AI systems
• Proven track record selecting and applying advanced statistical and ML techniques—classification, regression, clustering, ensemble methods, neural networks—to drive business outcomes
• Ability to balance technical sophistication with pragmatic delivery, knowing when to leverage state-of-the-art methods versus proven approaches
• Strong business acumen with demonstrated ability to connect data science initiatives to revenue growth, cost reduction, and strategic objectives

Responsibilities

• Lead the design, development, and deployment of production-grade machine learning models that automate and optimize critical underwriting processes, delivering measurable business impact
• Conduct sophisticated exploratory data analysis and statistical modeling to uncover high-value opportunities across underwriting and customer operations
• Analyze complex, multi-modal datasets—including financial records, commercial data, alternative data sources, and temporal patterns—to extract actionable intelligence and improve model performance
• Develop automated monitoring systems to continuously track model accuracy, fairness, drift, and regulatory compliance
• Collaborate with Engineering teams to integrate ML models into production systems, enabling autonomous real-time decision-making at scale
• Evaluate and implement the optimal statistical and modeling approaches—from traditional techniques like logistic regression and segmentation to modern deep learning architectures—based on problem requirements
• Champion a culture of experimentation, innovation, and continuous learning within the data science organization

Benefits

• Generous paid time off
• 401(k) retirement plan
• Opportunities for professional growth and advancement within a rapidly growing fintech leader.
• Collaborative, supportive team culture with a focus on training and development.
• Prime office location in New York, NY.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees