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Data Scientist


Published: Thu, 23 Jan 2025 06:50:10 GMT

Job Title: Data Scientist

Company: Prosper

Location: [Insert Location]

Job Type: Full-Time

Experience: Senior Level

Salary: [Insert Range]

About the Company:

Prosper is a leading fintech company that connects borrowers with investors through a peer-to-peer lending platform. Since its founding in 2005, Prosper has helped millions of people obtain access to affordable credit and has originated over $28 billion in loans. The company is committed to creating a diverse and inclusive workplace and values collaboration, curiosity, integrity, excellence, simplicity, and accountability.

Position Overview:

Prosper is seeking a (Sr.) Data Scientist to join their Data Science team under the Credit Risk Analytics vertical. This role will be a core contributor and require expertise in machine learning to deliver impactful results for the company.

Key Responsibilities:

– Develop industry-leading machine learning models to manage credit and fraud risks
– Utilize complex data sources, such as credit bureau reports and customer information, to optimize credit decisions
– Collaborate with engineers to deploy models into a production environment
– Propose and execute solutions to business problems within regulatory guidelines
– Use responsible AI techniques to adhere to lending best practices
– Develop tools and workflows to increase data science productivity
– Monitor credit risk models in production and make necessary adjustments
– Extract valuable insights from data to impact key business metrics
– Evaluate the usefulness and validity of machine learning algorithms and features using various data sources
– Conduct ad-hoc analyses related to risk management, investor services, operations, and corporate development

Qualifications:

– 3-6+ years of experience in fintech, finance, or other high-impact fields utilizing statistical and machine learning techniques (educational experience considered)
– Advanced degree (M.S./PhD) in statistics, computer science, engineering, physical sciences, economics, or related technical field
– Expert knowledge in statistical programming languages such as Python and database languages like SQL
– Solid understanding of coding best practices and model documentation
– Strong communication and interpersonal skills
– Ability to work independently in a fast-paced environment and manage multiple projects
– Familiarity with regulatory guidelines and a commitment to reproducible research
– Self-motivated, results-oriented, enthusiastic, and creative

Application Process:

If you are interested in joining a leading fintech company that is democratizing finance for all, please submit your resume and cover letter through our online application portal. At Prosper, we value diversity and welcome applicants from all backgrounds and experiences.

Equal Employment Opportunity:

Prosper is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected by federal, state, or local laws.

Applicants Rights:

Prosper adheres to all federal employment laws, including the Family and Medical Leave Act (FMLA), Equal Employment Opportunity (EEO), and Employee Polygraph Protection Act (EPPA). For more information about your rights as an applicant, please visit our website.

California Applicants:

Prosper is committed to protecting the privacy rights of California applicants. For more information about how your personal information is collected and used, please review our California Consumer Privacy Act (“CCPA”) Notice for Applicants on our website. By submitting your application, you acknowledge and agree to the terms outlined in the CCPA Notice.

Join Our Team:

At Prosper, we value individuals with passion, integrity, and a desire to learn. We encourage all interested candidates to apply, even if their experience does not precisely match the job description. We believe that diverse perspectives and unique skill sets enhance our team and help us achieve our mission. Join us in advancing financial well-being for all.
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