Data Scientist
San Francisco, CA
Full Time Mid-level / Intermediate USD 190K - 220K
Parafin
Parafin provides pre-built financial services programs that help your merchants grow.About Us:
At Parafin, our mission is to grow small businesses.
Small businesses are the backbone of our economy, yet banks do not have their back. Parafin is a technology company that builds infrastructure which enables small businesses to get easy access to financial services via platforms they sell on. Parafin's first set of products offer capital-as-a-service for online platforms. Parafin currently powers the capital programs for platforms and payment processors ranging from Series B to post-IPO companies such as DoorDash, Amazon, Worldpay, Mindbody, Fullsteam, Guesty, Xplor, and Quilt.
We are a tight-knit team coming from organizations such as Stripe, Square, Plaid, Coinbase, Robinhood, Affirm, Uber, and CERN, and are excited both about helping small businesses grow and thrive, and build products that leaders at top companies have started to use every day to grow their platforms. We are backed by prominent venture capitalists such as Ribbit Capital, Thrive Capital, GIC, Index Ventures, Green Oaks Capital, and SV Angel and have raised more than $94M in equity and $200M in debt.
The Data Science Team
Our Impact
Data is core to Parafin’s mission to grow small businesses. Our platform partnerships and portfolio provide rich insight into SMB financial health, allowing us to create fair, automated, and broad access to financial services. As Parafin scales, the breadth and depth of our data grows with it, amplifying the impact we can have on customers and the trajectory of the business.
Our Team
Enthusiasm, skepticism, and respect for data are in our DNA – two of our co-founders were PhD data scientists at Robinhood. Since our founding, we have grown the team to include perspectives from graduate studies in physics, mathematics, bioengineering, economics, financial engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft, Airbnb, Faire, Segment, Facebook, and Google. We value first-principles thinking, attention to detail, and craftsmanship.
Our Work
Our mission is to help Parafin succeed by leveraging the vast data that powers our platform. Our team partners closely with leaders across the company to drive impact. Our scope includes:
Go-To-Market: We collaborate with our sales leaders to convey the value of embedded finance to prospective partners. Example projects:
Identifying the impact of financial access on platform GMV using quasi-random variation
Running simulations to assess the risk of offering financial products on specific platforms
Portfolio Monitoring and Servicing: We develop tooling to maintain portfolio health, driving sustainable growth for Parafin, our capital markets partners, and the small businesses we serve. Example projects:
Estimating survival curves to predict cohorted loss rates
Deploying LLM-based models to automatically identify bankruptcy from web data
Product and Growth: We drive strategic decision-making and product design at the highest levels of the company. Example projects:
Designing experiments to increase offer size for low-risk merchants
Building tools to instrument and diagnose user behavior in our application flow
Underwriting: We build models and systems to decide which SMBs receive offers for each financial product and on what terms. Example projects:
Training a quantile regression model to forecast the distribution of SMB revenues and precisely size our financing offers
Applying convex optimization to generate competitive financing offers
Beyond these focus areas, our team helps expand our impact by recruiting exceptional talent, improving our tools, and supporting each other through regular seminars and project reviews.
About You
Your Impact
You will make an outsized impact on Parafin’s trajectory by leading projects from end to end. You will quickly learn new methods, apply them across diverse areas of the business, and implement them robustly. You will develop expertise in specific areas of the business, but may tackle projects across domains as our priorities evolve.
Your Background and Skills
Bachelor's Degree (or higher) in Computer Science, Statistics, Mathematics, Data Science (or related fields). We believe the most effective data scientists bring the following skills to their work:
Statistical Reasoning
Approach data analysis with a critical, intellectually honest eye
Design concise metrics that guide decision making
Use robust causal inference methods
Develop valid and predictive machine learning models
Business Acumen
Identify and effectively prioritize business problems
Solve business problems using appropriate data science techniques
Anticipate the impact of your work on our financial performance, customers, and compliance obligations
Engineering Mindset
Write legible, reliable, and tested code
Build or source tools to boost the team’s efficiency
Contribute to model and data infrastructure design
Leadership and Collaboration
Model Parafin’s values of efficiency, intellectual honesty, accountability, and empathy
Build trusted relationships with stakeholders
Document work, seek feedback, and share learnings proactively
Focused Execution
Prioritize high-impact use of your time
Scope projects rigorously
Act with urgency
What We Offer
Salary $190k- $220k + EQ
Senior Level Salary $220k- 250k + EQEquity grant
Medical, dental & vision insurance
Unlimited PTO & work from home flexibility
Commuter benefits
Free lunches
Paid parental leave
401(k)
Employee assistance program
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.
Tags: Causal inference Computer Science Data analysis Economics Engineering Finance LLMs Machine Learning Mathematics ML models PhD Physics Statistics Testing
Perks/benefits: Career development Competitive pay Equity / stock options Health care Medical leave Parental leave Startup environment Unlimited paid time off
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