Product Data Scientist

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 product offers capital-as-a-service for online platforms. Parafin currently powers the capital programs of platforms ranging from Series B to post-IPO companies such as DoorDash, Amazon, and Worldpay. We are a tight-knit team of engineers and designers, coming from organizations such as Stripe, Square, Plaid, Coinbase, Robinhood, Affirm, Uber, and CERN, and are excited both about helping hundreds of thousands of small businesses grow and thrive, and building products that leaders at top companies have started to use every day.
We are backed by prominent venture capitalists such as Ribbit Capital, Thrive Capital, GIC, Index Ventures, Green Oaks Capital, and SV Angel.

What You’ll Be Doing:

• You will solve business problems through analysis, metric development, and modeling.

• You will make efficient, timely use of data to guide product and business decisions.

• You will define and conduct experiments impacting core business processes.

• You will build data sets, models, and visualizations that enable the entire company to prioritize and operate.

• You will analyze conversion on our product and identify first-order product improvements.

What We’re Searching For:

• You are an effective generalist who partners well with engineering, product, and business functions.

• You communicate very well with both technical and non-technical partners.

• You care deeply about the quality and correctness of your work.

• You are comfortable managing competing and shifting priorities.

• You are excited about working on a small team.

• You have at least 3+ years of work experience as a Data Scientist in an analytics role.

• You are experienced with Python and comfortable with SQL

• You have a bachelor's degree in statistics, engineering, math, computer science, or a related technical discipline.

We Prefer If You Have:

• Experience measuring and optimizing human-in-the-loop processes

• Experience partnering with operations teams

• Experience with financial products and credit risk

• Experience with SQL

• Graduate degree

What We Offer

• Salary: $150-$175k

• Equity 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.