Published: Wed, 02 Jul 2025 22:51:03 GMT
Position: Senior Data Scientist
Company Overview:
Ocrolus is a leading AI and fintech company, dedicated to helping lenders streamline their workflows and make faster, more accurate lending decisions. Our AI-powered data and analytics platform is trusted by over 400 customers, including big names in the industry like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square. By combining state-of-the-art AI models with human-in-the-loop verification, we process nearly one million credit applications per month with over 99% accuracy. Our advanced fraud detection and comprehensive cash flow and income analytics enable our customers to manage risk more efficiently and provide greater access to credit, creating a more inclusive financial system.
Job Description:
We are seeking a talented Senior Data Scientist to join our team at Ocrolus. In this role, you will have the opportunity to work at the intersection of AI and fintech, building impactful analytics and machine-learning based products that empower lenders to make better credit, fraud, and operational risk decisions. As a key member of our data science team, you will play a critical role in the full product development cycle, moving quickly to ideate, build, deploy, and maintain production quality models. If you are a data scientist with strong engineering abilities and a passion for building ML models end-to-end, we want to hear from you!
Responsibilities:
– Collaborate with Product, Engineering, and other stakeholders to define data science problems that address business challenges
– Own the end-to-end lifecycle of data science models, from data exploration and feature engineering to deployment, monitoring, and continuous improvement in production
– Develop robust, scalable, and efficient models that balance algorithmic complexity with interpretability, business needs, and delivery timelines
– Examples of data science initiatives may include using NLP/LLMs to classify transactions, training gradient boosting trees to predict loan default probability, and building an entity resolution system for financial documents
– Communicate and present complex technical topics and results to various audiences
– Passionately seek to understand the “why” behind problems and the impact of solutions on client outcomes
– Utilize your deep understanding of statistics, probability, and machine learning algorithms
– Leverage your strong software engineering and data engineering fundamentals
– Demonstrate expert-level programming skills in Python and proficiency with core data science libraries (e.g., pandas, scikit-learn, Hugging Face)
– Utilize excellent SQL skills and comfort working with large and complex data warehouses (Snowflake/Postgres)
– Experience with CI/CD, shell scripting, Git/version control, REST/GRPC APIs, and cloud infrastructure (AWS: S3, EKS, etc)
Requirements:
– 5+ years of professional 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 perform with high levels of accuracy, stability, and coverage
– Strong communication skills and ability to present complex technical topics and results to various audiences
– Passion for understanding the “why” of the problem and the impact of solutions on client outcomes
– 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, Hugging Face)
– Excellent SQL skills and comfort working with large and complex data warehouses (Snowflake/Postgres)
– Experience with CI/CD, shell scripting, Git/version control, REST/GRPC APIs, and cloud infrastructure (AWS: S3, EKS, etc)
Bonus Points:
– Experience working with real-world financial data (e.g., bank transaction streams, financial statements, credit reports)
– Portfolio of past data science accomplishments (including source code)
Salary and Benefits:
The full-time salary range for this role is approximately $150,000, plus equity and benefits. The base pay offered may vary depending on job-related knowledge, skills, experience, and market location.
Note:
In compliance with N.Y.C. Admin. Code §§ 8-102 and 8-107(32), the full-time salary compensation range for this role when being hired into our offices in New York City is disclosed as required.
Life at Ocrolus:
At Ocrolus, we are a team of builders, thinkers, and problem solvers who are passionate about our mission and each other. As a fast-growing, remote-first company, we offer an environment where you can develop your skills, take ownership of your work, and make a meaningful impact. Our culture is grounded in four core values: Empathy, Curiosity, Humility, and Ownership. We believe that diverse perspectives drive better outcomes, and we are committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. We look forward to building the future of lending together. Apply link