Senior Data Scientist, Pipe
$180-220k
Capital and financial tools for SMBs
Be an early applicant
Capital and financial tools for SMBs
201-500 employees
Be an early applicant
$180-220k
201-500 employees
Company mission
To revolutionize how entrepreneurs access financing.
Role
Who you are
- 4-7+ years of experience developing and deploying machine learning or statistical models in a production environment (inclusive of relevant post-undergraduate academic work)
- Strong proficiency in Python and the broader data science ecosystem (NumPy, Pandas, scikit-learn, etc.), and high proficiency in SQL
- Familiarity with cloud-based MLOps platforms (e.g., SageMaker, Vertex AI, or similar) and comfort partnering with engineering to deploy and monitor models in production
- Personal or professional experience with, or strong interest in adopting, agentic development workflows and modern AI-assisted coding tools (e.g., Claude Code, Copilot, or similar)
- Deep fundamentals in probability, statistics, and machine learning, with the ability to choose the right tool for the problem
- Experience with credit risk modeling, underwriting, or other risk decision science domains such as insurance is strongly preferred
- Comfortable working cross-functionally and communicating complex modeling decisions clearly to both technical and non-technical stakeholders
- Strong written and verbal communication skills
- Bachelor's degree in Computer Science, Financial/Applied Math, Statistics, Economics, or a related technical field. Master's or PhD is a plus
- You want to join a fast-growing startup and make a real impact on customers
- You want to be part of a team that holds each other to high standards
- You have a strong technical foundation and are passionate about using your skills to help small businesses succeed
- You take end-to-end ownership of your work and enjoy collaborating across functions
- You thrive in an environment that values and rewards excellence
What the job involves
- We are looking for a hands-on Senior Data Scientist who uses Python and agentic development tools, like Claude Code or similar, to design and implement statistical and machine learning models that directly impact our customers' financial outcomes
- You will own the full modeling lifecycle across credit underwriting, risk management, and forecasting, and play a key role in shaping how we use data to serve small businesses better, and contribute to the technical direction of the broader data science teamThere are significant opportunities to grow and lead at Pipe
- Independently developing and owning statistical models that forecast cash flows and other drivers of business and customer health
- Designing and building models that optimize our product offerings to better serve our customers' needs
- Proactively exploring datasets to surface insights, and prototyping new approaches that create measurable value for customers
- Taking full outcome ownership of deployed models, including performance monitoring, residual analysis, and iteration, in close collaboration with engineering
- Mentoring junior team members, raising the technical bar through code and design review, and contributing to our data science best practices and long-term tooling roadmap
- Partnering with engineering and data engineering to productionize models, shape data infrastructure requirements, and improve our MLOps foundations
Our take
Pipe is an alternative trading platform for start-up businesses that allows entrepreneurs and founders to take agency over their direction. Now a certified unicorn company, Pipe enables companies to sell their future recurring revenue to large institutional investors for cash.
The company was founded by entrepreneurs who had experience with the challenges founders face when financing companies. Solving a widespread problem in the start-up space, Pipe has seen great success and has been used by over 23,000 companies, facilitating hundreds of millions of dollars in loans quarterly.
Recently the company has seen great success, by partnering with GoCardless to revolutionize SME capital across the UK, a move the company is making to expand its international presence outside of the US. This pilot program has shown impressive results and points towards a future of international success for Pipe.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
18% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2021
$250m
LATE VC
Mar 2021
$50m
SERIES C
Total funding: $316m
Company benefits
- Remote first, flexibility is key: Work from where you want and meet up with your colleagues somewhere new each quarter
- Health, dental, vision benefits: For you and your dependents, so you can feel your best without worry
- Parental leave, fertility & family planning benefits: We're proud to offer meaningful programs that help you put your family first
- Unlimited PTO: We really mean it when we say we want you to take time off when you need it - and we love a good company holiday
- Customized workstations: Choose a comfortable work-from-home set up that makes sense for you
Company HQ
Financial District, San Francisco, CA
Leadership
Luke Voiles
(CEO)Joined Pipe in 2023 as CEO. They have nearly two decades of leadership experience growing technology businesses, including Square Banking at Block, and Intuit's small business lending unit.
Josh Mangel
(Co-Founder)Previously Head of Product at Fair.com, CEO & Co-Founder at Skurt and was the Co-Founder of Beatdeck.
Harry Hurst
(Co-Founder)Also the Co-Founder of Protagonist. Previously Entrepreneur of the Year at Ernst & Young and was the Co-Founder of Skurt.
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