Lead Data Scientist

Fundwell-posted 2 months ago

Full-time • Senior

New York, NY

51-100 employees

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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 mentoring a team of data scientists and 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.

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

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

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

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