[Hiring] Sr. Data Scientist @PROSPER

PROSPER; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist, where your expertise in machine learning will help shape credit risk strategies. You will leverage complex data sources to optimize decision-making processes and collaborate with cross-functional teams to deploy impactful models. This role offers a unique opportunity to contribute to a mission-driven organization that values innovation and diversity, making a tangible difference in the financial well-being of millions. If you are passionate about data and eager to drive results in a dynamic environment, this position is perfect for you.

Qualifications

• 6+ years in fintech or finance applying statistical and machine learning techniques.
• Advanced degree in statistics, computer science, or related technical field.

Responsibilities

• Build machine learning models for credit and fraud risk management.
• Collaborate with engineers to deploy models in production environments.

Skills

Machine Learning

Statistical Analysis

Python

SQL

Communication Skills

Interpersonal Skills

Problem Solving

Data Analysis

Education

Master's Degree in Statistics, Computer Science, or related field

PhD in Statistics, Computer Science, or related field

Tools

Statistical Programming Languages

Database Management Systems

Job description

Apr 02, 2025 - PROSPER is hiring a remote Sr. Data Scientist. Location: USA.

Prosper is seeking a Sr. Data Scientist for the Data Science team under our Credit Risk Analytics vertical. You will become a core contributor with machine learning expertise on the credit risk team and deliver results that directly impact our business.

Minimum Qualifications:

Senior DS- MS with 6+ years of experience or PhD with 3+ years of experience

Problems You Will Solve

• Build industry-leading machine learning models for managing credit and fraud risks
• Leverage multiple complex data sources such as credit bureau reports and customer supplied information at large scale to optimize approve/decline and credit line assignment decisions
• Collaborate with engineers to deploy your models into a production environment
• Propose and execute solutions to various problems within business constraints
• Use responsible AI technique following regulatory requirements and lending best practices
• Help the team with developing tools and workflow solutions to increase data science productivity
• Actively monitor the credit risk models in production
• Extract the most value out of data to significantly impact our key business metrics
• Assess the potential usefulness and validity of machine learning algorithms and features through various data sources
• Conduct ad-hoc analysis related to risk management, investor services, operations and corporate development

About You

• 6+ years of work experience in fintech, finance, or other high impact field applying statistical and machine learning predictive techniques (educational experience taken into consideration). Consumer lending experience in unsecured personal loan or credit card is a plus
• Advanced degree (M.S./PhD) preferably in statistics, computer science, engineering, physical sciences, economics, or related technical field
• Expert knowledge in one of the statistical programming languages such as Python, and database languages such as SQL
• Solid understanding of coding best practices and model documentation
• Strong communication skills – ability to clearly and succinctly communicate technical subject matter to other team members and senior management
• Strong interpersonal skills – collaborate with people across functions and develop strong relationships
• Ability to work unsupervised in fast-paced environment and prioritize among parallel projects
• Ability to think within regulatory guidelines with a mindset toward reproducible research
• Self-motivated, results-oriented, enthusiastic, and a creative thinker

About Us

Founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S., Prosper was built on a simple idea: connect people who want to borrow money with those who want to invest. Since inception, Prosper has helped more than 2 million people gain access to affordable credit with over $27 billion in loans originated through its platform. Our mission is to help our customers advance their financial well-being through a variety of products including personal loans, credit, home equity lines of credit (HELOC), and our newest product, HELoan. Our diverse culture rewards accountability and cross functional teamwork because we believe this encourages innovative thinking and helps us deliver on our mission.

We’re on a mission to hire the very best, and we are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere. It is important to us that every hire connects with our vision, mission, and core values. Join a leading fintech company that’s democratizing finance for all!

Our Values

Diversity expands opportunities

Collaboration creates better solutions

Curiosity fuels our innovation

Integrity defines all our relationships

Excellence leads to longevity

Simplicity guides our user experience

Accountability at all levels drives results

www.prosper.com

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Applicants have rights under Federal Employment Laws.

Family & Medical Leave Act (FMLA)

Equal Employment Opportunity (EEO)

Employee Polygraph Protection Act (EPPA)

California applicants: please click here to view our California Consumer Privacy Act (“CCPA”) Notice for Applicants, which describes your rights under the CCPA:https://www.prosper.com/plp/legal/privacy-notice-for-applicants/

At Prosper, we're looking for people with passion, integrity, and a hunger to learn. We encourage you to apply even if your experience doesn't precisely match the job description. Your unique skill set and diverse perspective will stand out and set you apart from other candidates. Prosper thrives with people who think outside of the box and aren't afraid to challenge the status quo. We invite you to join us on our mission to advance financial well-being.

Prosper is committed to an inclusive and diverse workplace. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of 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 under federal, state, or local law, including the San Francisco Fair Chance Ordinance. Prosper will consider for employment qualified applicants who are non-US citizens and will provide green card sponsorship.