We are looking for a visionary Principal Data Scientist to lead strategic research initiatives focusing on our Personal Loans asset class. In this high-impact, individual contributor role, you will be at the absolute forefront of our research department. You will tackle most challenging, long-term research questions, working hands-on to advance our sophisticated models while providing high-level professional leadership and mentorship to data scientists across the group.
Responsibilities:
Act as the technical authority and professional lead for the Personal Loans research group, setting the standard for scientific rigor and innovation.
Spearhead complex, long-term research initiatives that address fundamental challenges in credit risk, behavioral modeling, and portfolio optimization.
Develop cutting-edge Machine Learning models and algorithms from scratch, moving from high-level hypothesis to production-ready solutions.
Design multi-domain Data Science solutions for the companys core mission, identifying untapped opportunities within our vast datasets.
Mentor senior and staff data scientists, advising on methodology, experimental design, and technical roadblocks without the overhead of people management.
Partner with Product, Engineering, and Finance stakeholders to align long-term research goals with strategic business roadmap.
Responsibilities:
Act as the technical authority and professional lead for the Personal Loans research group, setting the standard for scientific rigor and innovation.
Spearhead complex, long-term research initiatives that address fundamental challenges in credit risk, behavioral modeling, and portfolio optimization.
Develop cutting-edge Machine Learning models and algorithms from scratch, moving from high-level hypothesis to production-ready solutions.
Design multi-domain Data Science solutions for the companys core mission, identifying untapped opportunities within our vast datasets.
Mentor senior and staff data scientists, advising on methodology, experimental design, and technical roadblocks without the overhead of people management.
Partner with Product, Engineering, and Finance stakeholders to align long-term research goals with strategic business roadmap.
Requirements:
10+ years of experience in Machine Learning with large-scale tabular data. specifically focusing on predictive modeling (Advantage)
MSc or PhD in a highly quantitative field (Math, Physics, CS, Stats, or EE).
A track record of translating complex, long-term research projects into significant, measurable business impact in a production environment.
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Deep expertise in the Python Data Science stack and advanced applied statistics.
Excellent interpersonal skills with the ability to influence technical roadmaps and communicate complex scientific concepts to non-technical stakeholders.
10+ years of experience in Machine Learning with large-scale tabular data. specifically focusing on predictive modeling (Advantage)
MSc or PhD in a highly quantitative field (Math, Physics, CS, Stats, or EE).
A track record of translating complex, long-term research projects into significant, measurable business impact in a production environment.
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Deep expertise in the Python Data Science stack and advanced applied statistics.
Excellent interpersonal skills with the ability to influence technical roadmaps and communicate complex scientific concepts to non-technical stakeholders.
This position is open to all candidates.
