Senior Data Scientist
Billie
full-remoteseniorpermanentdata Full remote 74 days ago via WTTJ
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Machine LearningPythonSQLMLOpsMLOps MonitoringGraph DatabasesNeo4jCredit RiskCredit Portfolio ManagementDocker
About the role
Role Overview
Join Billie as a Senior Data Scientist (full remote). You will design, develop, and productionize machine learning solutions that support credit and portfolio management, driving technical execution and measurable business impact.
Key Responsibilities
- End-to-end development & productionization of machine learning solutions for credit and portfolio management.
- Drive technical solutions for high-quality, impactful ML across multiple domains.
- Define and execute analytics for complex, cross-domain problems, including hypothesis development for experimentation.
- Serve as a technical leader within cross-functional teams.
- Productionize ML services using modern MLOps practices, including containerization, event-driven architectures, and model monitoring.
Requirements
- Deep understanding of the business and ability to apply expertise to pressing problems with direct, measurable impact.
- Hands-on Python experience (e.g., pandas, scikit-learn, XGBoost, PyTorch/TensorFlow) and SQL.
- Strong business acumen to translate complex business problems into clear analytical and technical requirements.
- Hands-on graph database experience (e.g., Neo4j) to model/analyze interconnected data.
- 6+ years of Data Science experience with significant exposure to the credit domain.
- Experience building scorecards, limit policies, and portfolio management capabilities.
- Strong communication and data storytelling skills to maximize organizational decision-making from technical findings.
Nice to Have
- Experience with Snowflake and/or BigQuery.
- Experience with data visualization tools such as Tableau.
About Billie
Billie is a fast-growing fintech company focused on delivering data-driven financial products. The role centers on using machine learning and analytics to support credit and portfolio management use cases in production environments.
Scraped 5/13/2026