About this role
The team is seeking a Staff Data Scientist to join their innovative team. In this role, you will leverage your expertise in machine learning and data analysis to develop advanced credit models that assess consumer potential beyond traditional credit scores. You will play a key role in building a consumer credit platform aimed at transforming access to financial products in emerging markets.
Key Responsibilities:
- Design and implement machine learning algorithms to enhance credit assessment processes.
- Analyze large datasets to extract insights and improve product offerings.
- Collaborate with cross-functional teams to integrate data-driven solutions into mobile-first products.
- Develop and maintain predictive models that utilize real-time financial signals.
- Communicate findings and recommendations to stakeholders effectively.
Required Skills & Qualifications:
- Proven experience in data science, with a focus on machine learning and statistical analysis.
- Proficiency in programming languages such as Python or R, and experience with data manipulation libraries.
- Strong understanding of credit scoring models and financial data analysis.
- Experience with cloud platforms like AWS or Azure for data processing and model deployment.
- Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment.
Experience:
- 5-8 years of relevant experience in data science or a related field.
What we offer:
The team provides a dynamic work environment that encourages innovation and creativity. You will have the opportunity to work on impactful projects that shape the future of consumer finance and contribute to a mission-driven organization.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.