Fundwell
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Lead Data Scientist
role at
Fundwell
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.
How You’ll Make An Impact
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.
What Sets You Apart
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.
Why Join Fundwell
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.
Fundwell is an equal employment opportunity employer. We adhere to a policy of making employment decisions without regard to age, race, color, creed, religion, political affiliation, gender, sexual orientation, sexual identification, ancestry, national origin, citizenship, marital status, domestic or civil union partnership status, disability or handicap, veteran or military status (e.g. National Guard or Reserves).
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Lead Data Scientist
role at
Fundwell
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.
How You’ll Make An Impact
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.
What Sets You Apart
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.
Why Join Fundwell
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.
Fundwell is an equal employment opportunity employer. We adhere to a policy of making employment decisions without regard to age, race, color, creed, religion, political affiliation, gender, sexual orientation, sexual identification, ancestry, national origin, citizenship, marital status, domestic or civil union partnership status, disability or handicap, veteran or military status (e.g. National Guard or Reserves).
#J-18808-Ljbffr