&lt;p&gt;&lt;strong&gt;About Pipe&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;The Role&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;This is a full-time, fully remote position as a Data Scientist. In this role, you will:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Use statistical modeling to better forecast our customers&#39; cash flows and other drivers of business health.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Use analytics and experimentation to improve customer experience on the Pipe platform.&lt;/li&gt;
&lt;li&gt;Proactively explore datasets to uncover insights, and prototype new model-driven features and products that provide value to our customers.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Design and build models to optimize the company’s product offerings.&lt;/li&gt;
&lt;li&gt;Deploy and monitor model performance.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Qualifications&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are looking for talented data scientists with past experience in a similar role. Specifically, ideal candidates will have:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience building the end-to-end model development lifecycle.&lt;/li&gt;
&lt;li&gt;Proficiency in SQL and at least one scripting language (ex.Python). Data Science culture at Pipe is closely aligned with engineering&#39;s, so successful candidates will be familiar with developer best practices and comfortable navigating production codebases.&lt;/li&gt;
&lt;li&gt;Hands on experience in either of these MLOps infrastructure (ex. Chalk, Baseten, Metaflow, SageMaker, Vertex)&lt;/li&gt;
&lt;li&gt;Sound fundamentals in probability and statistics.&lt;/li&gt;
&lt;li&gt;Strong written and verbal communication skills.&lt;/li&gt;
&lt;li&gt;Prior work in finance, financial forecasting, and/or optimization is a plus.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Educational background in Statistics, Computer Science, Financial/Applied Math, Operations Research, Economics, or a related technical field. Masters/PhD is a plus.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;In general, you will be successful at Pipe if:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You want to join a quickly growing startup and make an impact.&lt;/li&gt;
&lt;li&gt;You want to be part of a team that holds each other to high standards.&lt;/li&gt;
&lt;li&gt;You have a strong technical foundation, and are passionate about using your toolkit to help our customers succeed.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You take end-to-end ownership of your work and enjoy working with different functions across the company.&lt;/li&gt;
&lt;li&gt;You have strong written and verbal communication skills.&lt;/li&gt;
&lt;li&gt;You want to work in an environment that values and rewards excellence.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Many good candidates do not fit job descriptions perfectly. If you believe you are a good fit, we encourage you to apply.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Tech Stack&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are committed to using the right tools for the problems we are trying to solve. Currently our stack is mostly comprised of:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Baseten, Bigquery, SQLMesh, Metaflow, Chalk.&lt;/li&gt;
&lt;li&gt;We are primarily a Python and SQL shop, but experience in other languages will translate.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Compensation and Benefits&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We want you to feel like an owner and that should be reflected in your salary and equity.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;The best equipment: if you want it, and it helps you do your job, we&#39;ll provide it. Computers, monitors, desks, chairs, headphones, speakers, microphones, webcams, keyboards, mice, etc.&lt;/li&gt;
&lt;li&gt;A good work-life balance: we do our best work when we regularly can step away from it and live our lives.&lt;/li&gt;
&lt;li&gt;Flexible vacation and work hours. We don&#39;t adopt conventional work practices that are meaningless for the type of work we do.&lt;/li&gt;
&lt;li&gt;Parental leave for anyone who is growing their family, regardless of gender.&lt;/li&gt;
&lt;li&gt;Very good health, dental, and vision insurance.&lt;/li&gt;
&lt;li&gt;Great colleagues: we value a culture of authenticity, humility, and excellence. We want you to make a footprint on our culture.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The annual US base salary range for this role is $165,000 - $220,000. This salary range may be inclusive of several career levels at Pipe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.&lt;/p&gt;

Full Time - Remote - Risk

Data Scientist - MLOps Focus