Parafin Inc.
Data Scientist, Product
Parafin Inc., San Francisco, California, United States, 94199
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.About the PositionWe are looking for a Product Data Scientist to drive understanding of how our business and its products are scaling and performing. You will be responsible for analyzing data and building models to uncover trends and develop insights. You will partner with stakeholders to guide their decision-making and improve our operational efficiency.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 use your data and context to identify new avenues of changes and improvements we should be making.
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 SQL and Python
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
Graduate degree
What We OfferSalary: $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.
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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.About the PositionWe are looking for a Product Data Scientist to drive understanding of how our business and its products are scaling and performing. You will be responsible for analyzing data and building models to uncover trends and develop insights. You will partner with stakeholders to guide their decision-making and improve our operational efficiency.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 use your data and context to identify new avenues of changes and improvements we should be making.
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 SQL and Python
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
Graduate degree
What We OfferSalary: $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.
#J-18808-Ljbffr