For our client, we are seeking a Senior Data Scientist, Credit to join the team of a leader in the Finance & Insurance space.
This role will focus on building and operationalizing machine learning solutions that support credit decisioning and broader financial outcomes. You will partner closely with business leaders and technical stakeholders to translate complex data into practical models and risk-aware strategies. The position offers the opportunity to improve existing methodologies, expand available data sources, and influence how modeling is applied in real-world settings.
Location: Remote
Compensation: $120,000 – $134,000 annually
Responsibilities
- Design and deploy machine learning models to solve business problems
- Collaborate with business leaders to align modeling with financial goals
- Develop new data sources and enhance existing modeling methodologies
- Implement risk management practices in model applications
- Share best practices and mentor junior data scientists
- Operationalize and evaluate models in real-world settings
- Explore and experiment with emerging tools for model development
Qualifications
- PhD in a quantitative field with 1+ years of experience, or BS/MS with 3+ years in a related role
- Experience with supervised learning models in production systems
- Strong collaboration skills with both technical and business teams
- Advocates for software engineering best practices
- Broad interest in various ML solutions and tools
- Familiarity with the PyData stack, including numpy, scikit-learn, and pandas
- Motivated by practical solutions over theoretical ones
Benefits
- Engaging work culture with training and advancement opportunities
- Comprehensive health, dental, and vision coverage
- Flexible Spending Account for medical and childcare expenses
- Generous paid time off and flexible work schedules
- Subscription to Calm App for wellness support
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.