Senior Data Scientist - Remote

Overview

EDGE (www.edgescore.com) is a B2B fintech on a mission to expand credit access for consumers historically unserved and underserved by the reports and scores of traditional credit bureaus. We’re doing this with risk analytics based on complementary alternative data that reveals a more complete financial picture.

Founded in 2021, Edge is part of a larger family of fintech brands underneath our parent company, NinjaHoldings (www.ninjaholding.com). NinjaHoldings’ brands include CreditNinja, a nationwide online consumer lending business established in 2017, and NinjaCard, a neobanking platform focused on consumers in the emerging credit space.

The EDGE business is at an inflection point where we’ve proven our platform’s value with early adopters, and we’re ready to go full-throttle into our target markets. Elevating every aspect of our marketing efforts is critical in this planned ramp-up.

In Short

• We're looking for a Senior Data Scientist with the initiative and technical depth to propose and build ideas.
• This role involves ownership of hypothesizing features, prototyping, validating with real data, and partnering with engineers.
• Lead the design of analytics-driven features and systems that shape products and impact outcomes.
• Responsibilities include analytics product end-to-end development, modeling & research, and analytics engineering.
• Collaborate cross-functionally with product, engineering, and risk teams.
• Provide technical mentorship and contribute to standards and best practices.
• Participate in architectural decisions and roadmap planning.
• Experience in consumer lending or financial services is required.
• 4+ years in data science or analytics engineering is necessary.
• Comfort with cloud-native infrastructure and building APIs is a must.

Requirements

• Experience in consumer lending, credit risk modeling, or financial services.
• 4+ years of experience in data science, analytics engineering, or backend ML systems.
• Advanced proficiency in Python, including libraries like Pandas, NumPy, and scikit-learn.
• Strong SQL skills and familiarity with relational databases (PostgreSQL or similar).
• Experience with model lifecycle: from prototyping to validation to deployment.
• Comfort working with cloud-native infrastructure (Docker, Kubernetes, AWS).
• Experience building APIs (gRPC and/or REST) for real-time model inference or data delivery.
• A strong sense of ownership and a bias for action.

Benefits

• Competitive salary and benefits package.
• Fun, fast-paced work environment.
• Dynamic start-up culture.
• Ability to make an immediate impact in a growth stage company.
• Convenient downtown Chicago office located in the heart of the city.
• Equal opportunity employer.