Job Description
At Ocrolus, we believe companies work best when they focus on their core business and let automation do the rest. We’re powering the digital lending ecosystem and help financial services firms make high-quality decisions with trusted data and unparalleled efficiency.
Ocrolus’ Human-in-the-Loop document automation software analyzes documents with over 99% accuracy. We're replacing legacy OCR vendors that cap out at 75-80% accuracy, and augmenting the robotic work that humans are prone to doing all too often – which can be expensive, error-prone, and slow. By empowering lenders to analyze diverse sources of financial data more efficiently, Ocrolus levels the playing field for every borrower, providing expanded access to credit at a lower cost.
We’ve raised over $100 million from blue-chip investors and are working with customers like PayPal, Brex, SoFi, Blend and Plaid. Join us as we build the future of fintech, and make an impact at an award-winning, high-growth startup that Forbes recently dubbed the “Next Billion-Dollar Startup”.
Our team at Ocrolus is tasked with leveraging data science to create high-quality, impactful products that serve the lending market in truly differentiated ways. If you are a data scientist looking to leverage your data science experience in building end-to-end and view ambiguity as an opportunity, then we want to talk to you!
What you'll do:
- Develop and enhance predictive models: set up a productive feedback loop with product, data and tech that allows for the discovery, production and delivery of predictive models, high-quality documentation, and other data assets.
- Feature engineering across multiple sources of novel data, structured and unstructured.
- Model artifacts that can be tested and deployed to production; ensuring a reproducible and technically sound model development process.
- Apply logic, data, statistical modeling, creative thinking to business problems.
- Work with modern, cloud-based technologies (preferably AWS stack).
- Assist in the development of data science best practices and knowledge sharing across the team and organization.
- Establishing best practices and mentoring fellow team members.
What you'll bring:
- 5+ years working as a Data Scientist or MS with 3+ years of experience in a quantitative discipline (e.g., math, statistics, computer science, engineering).
- The ability to communicate & present complex and technical topics, requirements, results to various audiences.
- Passion for understanding the ‘why’ of the problem and the impact of solutions on customer outcomes.
- Experience applying machine learning to solve product needs, and can reason about the choice of algorithms, minimal viable products, and iteration.
- Experience building and deploying models that perform with high levels of accuracy, stability, and coverage.
- Excellent programming skills in Python and/or R.
- Excellent SQL skills, comfortable working with data warehouses.
- Strong documentation skills (Markdown, you like GitHub READMEs).
- Support hours in EMEA shift (1 PM to 10 PM IST).
We take pride in our dynamic, diverse team, unified by shared values of Ownership, Optimism, Objectivity, Humility, Urgency, and Appreciation. We love what we do and the people we do it with, which is why we welcome every individual, provide them with equal opportunity irrespective of their race, gender, gender identity, age, disability, national origin or any other legally protected rights that one has.
We look forward to hearing from you!
Date Posted
11/19/2022
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