Senior Data Scientist (Operations)

The Role

As the Senior Data Scientist, you will lead initiatives targeted to drive efficiency, scalability, and operational performance using AI/ML. In this role, you will source, manage, and analyze large volumes of structured and unstructured data, synthesize results, and communicate/collaborate on the results with key stakeholders to drive strategic decision making in the organization.

This role will require heavy collaboration across other data science, engineering, and analytics teams while also acting as an individual contributor as Operations build out Data Science skills and abilities. The ideal candidate will be deeply immersed in data science with hands-on modeling experience, driven by a passion for uncovering insights that fuel Prosper's growth and customer strategies. This role will be heavily invested in financial operations, particularly collections but inclusive of loan verifications, customer servicing, sales strategy, complaints, and customer experience. You will serve as subject matter expert on AI/ML in Operations and eventually cultivate a team of Data Scientists to deepen our strength in this space.

Problems You Will Solve
Responsible for the design and development of AI/ML solutions in Operations. Spearhead innovation and application development to automate/optimize current workflow and process for efficiency enhancement. Ensure the end-to-end solution meets all technical and business requirements.
Expertise with modeling techniques: NLU/NLP and GenAI, ANN, Decision Tree, and other statistical modelling techniques.
Develop creative ways to find and use data that significantly impact our key business metrics.
Independently create proposals and identify opportunities to drive efficiency in operational processes and AI/ML.
Design and execute tests having clear success metrics, be able to provide synthesized analysis of the results and manage solutions into production.
Work cross functionally to shepherd projects from ideation into production working across Legal, Risk, Ops Teams, Product, Engineering to ensure efficiency.
Develop and maintain procedures for tracking data sources, data lineage, data quality, completeness, redundancy vs replication, data dictionary, data models, metadata and master data.
Build production models used to generate 'next best action' strategies across customer journeys in Collections and Sales.
Own operations priorities and roadmap, acting as liaison across all products and functional areas to deliver AI solutions for the organization. AI solutions could include, but not limited to, analytical deployments/proofs of concept, engineering developed AI solutions, and external AI service providers.
Continuously develop and demonstrate improved modeling methodologies; advise on best practices and methods for evaluating and measuring experiments.
Assess the potential usefulness and validity of new statistical approaches and data sources.

About You
Bachelor's or higher degree in quantitative field such Mathematics, Statistics, Computer Science, Engineering, Finance, Economics, Physical Sciences or related technical field - Postgrad degree a plus.
7+ years of Data Science experience with 5-7 years of experience in fintech/finance applying statistical and machine learning predictive techniques and 3+ years of analytics management experience.
Expert level proficiency and experience in python and SQL.
Familiarity with Google cloud services stack including Big Query, BQML, DBT, Looker, etc (preferred).
Experience with Github and Bitbucket or similar source control mechanisms/tools (preferred).
Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using GenAI, ML, NLP, ANN and other modelling techniques.
Solid understanding and habitual use of coding best practices / model documentation requirements.
Strong communication & collaboration skills to communicate technical subject matter to other team members and Senior Management team.
Proven ability to supervise and direct multiple data science projects in parallel and make critical decisions independently.
A passion for solving complex problems in operations and execute test plans in a dynamic environment.

What We Offer
The opportunity to collaborate with a team of creative, fun, and driven colleagues on products that have an immediate and significant impact on people's lives
The opportunity to work in a fast-paced environment with experienced industry leaders
Flexible time off, comprehensive health coverage, competitive salary, paid parental leave
Wellness benefits including access to mental health resources, virtual HIIT and yoga workouts
A bevy of other perks including Udemy access, childcare assistance, pet insurance discounts, legal assistance, and additional discounts

$146,000 - $179,000 a year

Compensation details: The salary for this position is $146,000 - $179,000 annually, plus bonus and generous benefits. In determining your salary, we will consider your location, experience, and other job-related factors.

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About Our Operations Team

Rooted in our values, Prosper's Operations team is driven by how we can improve the customer experience, always thinking there must be a better way. If you are looking for a mission driven company with a great culture, check us out! As a Prosper employee, you will have the opportunity to take ownership of your career - we offer learning opportunities and career development plans. Come join a dedicated, diverse community that will help you discover your fullest potential! Are you ready to Prosper?

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 a million people gain access to affordable credit with over $25 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

Our Story & Team // Our Blog

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.
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