About Pipe Pipe is the modern capital platform built to connect entrepreneurs and business owners to fast, frictionless, dilution-free financing. Pipe turns all forms of revenue into up-front working capital to help companies improve cash flow, scale operations, and grow on their terms. The Role This is a full-time, fully remote position as a Staff Data Scientist. In this role, you will: <ul> <li>Use statistical modeling to better forecast small business cash flow &amp; other predictors of business health  </li> <li>Assimilate diverse data views: commercial bureau, bank and consumer bureau data to build predictive models </li> <li>Calibrate strategies serve  high proportion of target audience while creating a portfolio with the right risk- reward equation   </li> <li>Use analytics and experimentation to improve customer experience on the Pipe platform.</li> <li>Proactively explore datasets to uncover insights, and prototype new model-driven features and products that provide value to our customers. </li> <li>Deploy models &amp; risk strategies into the ML Ops infrastructure</li> <li>Monitor model &amp; strategy performance and finetune strategies in response to credit performance and macro environment</li> </ul> Qualifications We are looking for talented data scientists with past experience in a similar role. Specifically, ideal candidates will have: <ul> <li>10+ years experience in commercial risk management in UK (ideally for SMB portfolio)</li> <li>Deep expertise and understanding of UK consumer bureau, commercial bureau and open banking data is a must</li> <li>Experience building the end-to-end model development lifecycle</li> <li>Proficiency in SQL and at least one scripting language (ex.Python). Data Science culture at Pipe is closely aligned with engineerings, so successful candidates will be familiar with developer best practices and comfortable navigating production codebases.</li> <li>Hands on experience in either of these MLOps infrastructure (ex. Chalk, Baseten, Metaflow, SageMaker, Vertex)</li> <li>Strong written and verbal communication skills.</li> <li>Educational background in Statistics, Computer Science, Financial/Applied Math, Operations Research, Economics, or a related technical field. Masters/PhD is a plus. </li> </ul> In general, you will be successful at Pipe if: <ul> <li>You want to join a quickly growing startup and make an impact.</li> <li>You want to be part of a team that holds each other to high standards.</li> <li>You have a strong technical foundation, and are passionate about using your toolkit to help our customers succeed. </li> <li>You take end-to-end ownership of your work and enjoy working with different functions across the company.</li> <li>You have strong written and verbal communication skills.</li> <li>You want to work in an environment that values and rewards excellence.</li> </ul> Many good candidates do not fit job descriptions perfectly. If you believe you are a good fit, we encourage you to apply.  Tech Stack We are committed to using the right tools for the problems we are trying to solve. Currently our stack is mostly comprised of: <ul> <li>Baseten, Bigquery, SQLMesh, Metaflow, Chalk.</li> <li>We are primarily a Python and SQL shop, but experience in other languages will translate.</li> </ul> Compensation and Benefits We want you to feel like an owner and that should be reflected in your salary and equity. <ul> <li>The best equipment: if you want it, and it helps you do your job, well provide it. Computers, monitors, desks, chairs, headphones, speakers, microphones, webcams, keyboards, mice, etc.</li> <li>A good work-life balance: we do our best work when we regularly can step away from it and live our lives.</li> <li>Flexible vacation and work hours. We dont adopt conventional work practices that are meaningless for the type of work we do.</li> <li>Parental leave for anyone who is growing their family, regardless of gender.</li> <li>Great colleagues: we value a culture of authenticity, humility, and excellence. We want you to make a footprint on our culture.</li> </ul>

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