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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 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 + EQ

  • 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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CEO of Parafin
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Sahill Poddar
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What You Should Know About Data Scientist , Parafin

Parafin is on the hunt for an innovative and driven Data Scientist to join our dynamic team in San Francisco. At Parafin, we’re all about empowering small businesses by providing them with easy access to financial services through cutting-edge technology. As a Data Scientist here, you’ll be central to our mission, diving deep into vast datasets that reveal critical insights into the financial health of small to medium-sized businesses. Your analytical prowess will help us design impactful solutions in areas like Go-To-Market strategies and portfolio monitoring. Imagine designing experiments that not only contribute to our understanding of financial access but also drive substantial growth for our partners! We pride ourselves on our collaborative environment, where your ideas matter and can be quickly transformed into real projects. You'll be part of a skilled team that values first-principles thinking and encourages deep exploration of data. With a solid foundation in statistical reasoning and machine learning, you'll leverage your skills to tackle diverse business challenges. If you are someone who loves to uphold accuracy, lead your own projects, and collaborate with various stakeholders, then you will thrive at Parafin. Plus, with fantastic perks like competitive salaries, equity grants, and a flexible work environment, you will feel valued both personally and professionally. Join us, and let’s help small businesses grow together!

Frequently Asked Questions (FAQs) for Data Scientist Role at Parafin
What are the primary responsibilities of a Data Scientist at Parafin?

As a Data Scientist at Parafin, your main responsibilities include leading impactful projects from start to finish, applying statistical reasoning to analyze business problems, and developing predictive machine learning models. You'll collaborate with sales and product teams to drive decision-making and improve financial offerings for small businesses.

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What qualifications are required for the Data Scientist position at Parafin?

To thrive as a Data Scientist at Parafin, you’ll need at least a Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field. We look for candidates with strong statistical reasoning skills, experience in data analysis, machine learning expertise, and the ability to apply a business-focused mindset to their work.

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What kind of projects can a Data Scientist expect to work on at Parafin?

Data Scientists at Parafin can expect to work on diverse projects such as analyzing the impacts of financial access on platform growth, developing tools for portfolio monitoring, and building models to forecast revenue distributions for SMBs. Your work will have a substantial impact on the company's strategic goals.

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How does collaboration happen in the Data Science team at Parafin?

Collaboration within the Data Science team at Parafin is pivotal. You’ll work closely with cross-functional teams including sales, product, and upper management to ensure data-driven strategies. We value open communication and encourage regular feedback and knowledge sharing through seminars and project reviews.

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What benefits can a Data Scientist at Parafin expect?

At Parafin, Data Scientists enjoy comprehensive benefits, including competitive salaries ranging from $190k to $250k plus equity grants. Other perks include unlimited PTO, medical and dental insurance, flexible working arrangements, free lunches, and a supportive parental leave policy.

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Common Interview Questions for Data Scientist
Can you describe your experience with machine learning models relevant to the Data Scientist position at Parafin?

When answering this question, highlight specific machine learning projects you've worked on, the methodologies you employed, and the outcomes of those projects. Discuss how your experience relates to the financial services context, particularly how your models could benefit small businesses.

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How do you approach statistical reasoning in data analysis?

Describe your methodology for applying statistical reasoning. Discuss how you ensure the integrity and accuracy of your analysis, and give examples of how you've used statistical tools to inform business decisions in the past.

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What strategies do you use for effective collaboration with different teams?

Mention your communication and teamwork strategies. Provide examples that demonstrate how your collaborative approach led to successful project outcomes, emphasizing your ability to bridge the gap between data science and business needs.

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Can you explain a time when you successfully solved a complex business problem through data science?

Share a specific example of a complex problem, the data science techniques you employed, and the impact your solution had on the organization. Focus on quantifiable results to demonstrate your effectiveness as a Data Scientist.

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How do you prioritize projects and ensure you're focusing on high-impact work?

Discuss your methods for assessing project impact, such as using strategic criteria or frameworks. Provide examples of how you have prioritized your tasks in past roles to align with business goals.

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What tools and technologies are you proficient in that are relevant to the Data Scientist role?

List the data science tools and technologies you are experienced with, such as Python, R, SQL, or specific machine learning libraries. Talk briefly about how you've employed these tools in previous projects.

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How do you handle challenges or setbacks in your data projects?

Share a specific story where you faced a challenge in a data project. Discuss your problem-solving approach, how you turned it into a learning experience, and any adjustments you made to overcome similar challenges in future.

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What methods do you use to validate and test your data models?

Explain your validation techniques, such as cross-validation or A/B testing, and how you assess the performance of your models. Emphasize the importance of robust testing to ensure data integrity.

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How do you stay current with the latest trends and technologies in data science?

Discuss your continuous learning practices, such as following industry blogs, participating in webinars, or being part of communities. Mention any specific trends or tools that you find particularly relevant to Parafin's mission.

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What makes you a good fit for the Data Scientist position at Parafin?

Reflect on your unique skills and experiences that align with Parafin's values and mission. Emphasize your passion for small business growth, your technical abilities, and your collaborative nature, and how these can contribute to the team.

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We grow small businesses.

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Full-time, remote
DATE POSTED
December 15, 2024

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