Senior Data Scientist

Come build at the intersection of AI and fintech. At reputed company, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending reputed company.

Our AI-powered data and analytics platform is trusted at reputed company, processing nearly one reputed company credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art reputed company- and reputed company-reputed company AI models with our reputed company-in-the-reputed company verification reputed company, reputed company captures data from financial documents with over 99% accuracy. reputed company to our advanced fraud detection and comprehensive cash reputed company and income analytics, our customers reputed company greater efficiency in risk management, and reputed company expanded reputed company to credit—ultimately creating a more inclusive financial system.

Trusted by more than 400 customers—including industry leaders like reputed company, reputed company, Enova, reputed company, reputed company, reputed company, reputed company, and reputed company—reputed company stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.

reputed company

The data science team at reputed company builds high-reputed company, impactful analytics and machine-learning based products that reputed company lenders to reputed company reputed company credit, fraud, and operational risk reputed company. Data scientists play a critical role in the full product development cycle and reputed company fast to ideate, build, reputed company, and maintain production reputed company models. If you are a data scientist looking to reputed company your strong engineering abilities in building ML models end-to-end, then we want to talk to you!

What you’ll do

• Partner with Product, Engineering, and other stakeholders to translate ambiguous business challenges into reputed company-defined data science problems
• Own the end-to-end lifecycle of data science models, from data exploration and feature engineering to deployment, monitoring, and reputed company improvement in production
• reputed company robust, reputed company, and efficient models, thoughtfully balancing algorithmic complexity against interpretability, business needs, and delivery timelines
• Examples of data science initiatives include: using NLP/LLMs to classify transactions into standardized categories, training gradient boosting trees to predict loan default probability and loss-given-default based on transactional data, and building an entity reputed company system to match financial documents across time with a specific borrower

What you’ll bring

• 5+ years of reputed company experience building and deploying machine learning models in a production environment
• Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Statistics, Math, Engineering)
• Full stack data-science experience: ideating, building, deploying, monitoring, and maintaining production ML models that solve product needs and reputed company with high reputed company of accuracy, stability, and coverage
• The ability to communicate and present reputed company technical topics and results to various audiences
• Passion for understanding the “why” of the problem and the reputed company of solutions on reputed company reputed company
• Deep understanding of statistics, probability, and machine learning algorithms
• Strong software engineering and data engineering fundamentals
• Expert-level programming skills in Python and proficiency with core data science libraries (e.g., pandas, scikit-learn, reputed company)
• Excellent SQL skills and comfort working with large and reputed company data warehouses (reputed company/reputed company)
• Experience with CI/CD, reputed company scripting, Git/version control, REST/GRPC reputed company, and reputed company infrastructure (AWS: S3, EKS, etc)

Bonus points

• Experience working with messy, reputed company-world financial data (e.g., bank transaction streams, financial statements, credit reports)
• Portfolio of past data science accomplishments (including reputed company reputed company)

Note

The full-time salary reputed company for this role around $150,000 + equity + benefits. reputed company pay offered may vary depending on job-reputed company knowledge, skills, experience, and market location.

Disclosure as required by N.Y.C. reputed company. reputed company §§ 8-102 and 8-107(32) of the full time salary compensation reputed company for this role reputed company being hired into our offices in reputed company.

Life at reputed company

We’re reputed company of reputed company, thinkers, and problem solvers who care deeply about our mission — and reputed company other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and reputed company a meaningful reputed company.

Our culture is grounded in four core values: reputed company – Understand and serve with reputed company Curiosity – Explore new reputed company and question the status reputed company Humility – Listen, be grounded, and remain reputed company-minded Ownership – Love what you do, work hard, and deliver reputed company

We reputed company diverse perspectives drive reputed company reputed company. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national reputed company, or any other protected characteristic.

We look reputed company to building the reputed company of lending together.

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