Ocrolus · 18 hours ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
$165K/yr - $165K/yr
5+ years expOcrolus is a company focused on automating workflows for lenders through AI and fintech solutions. The Senior Data Scientist will be responsible for building and deploying machine learning models to help lenders make informed credit and risk decisions, while collaborating with various stakeholders throughout the product development lifecycle.
Artificial Intelligence (AI)LendingFinanceBankingFinTechCreditFinancial ServicesMortgage
Responsibilities
Partner with Product, Engineering, and other stakeholders to translate ambiguous business challenges into well-defined data science problems
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, 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 resolution system to match financial documents across time with a specific borrower
Qualification
Required
5+ years of professional experience building and deploying machine learning models in a production environment
Lending domain experience, applying data science principles in the management of portfolio risk or acquisition
Bachelor's or Master's degree in a quantitative discipline (e.g., Computer Science, Statistics, Finance, 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
The ability to communicate and 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)
Preferred
Experience working with messy, real-world financial data (e.g., bank transaction streams, financial statements, credit reports)
Portfolio of past data science accomplishments (including source code)
Benefits
Equity
Benefits
Company
Ocrolus
Ocrolus is an AI-powered data and analytics platform that enables faster and more accurate financial decision-making.
201-500 employees
H1B Sponsorship
Ocrolus has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (3)
2022 (4)
2021 (5)
2020 (6)
Funding
Current Stage
Growth StageTotal Funding
$126.97MKey Investors
Fin CapitalFinTech Collective,QED InvestorsOak HC/FT
2021-09-22Series C· $80M
2020-08-25Series B· $13.47M
2019-06-25Series B· $24M
Leadership Team
Sam Bobley
Co-Founder and CEO
Ajay Shrivastava
Chief Operating Officer (Ocrolus) & Country Head (India)
Recent News
HousingWire.com
2025-11-01
HousingWire.com
2025-11-01
Company data provided by crunchbase