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Data Scientist Jobs
Company | Pipe Technologies |
Address | , San Francisco, Ca |
Employment type | |
Salary | |
Expires | 2023-07-25 |
Posted at | 11 months ago |
About Pipe
Pipe is the modern capital platform built to connect entrepreneurs and business owners to fast, frictionless, dilution-free financing. Pipe works across industries by turning all forms of revenue into up-front capital to help companies improve cash flow, scale operations, and grow on their terms.
We're a fully distributed, remote-first, fast-growing startup. Our engineering, data science and risk teams are spread from UTC-8 to UTC+6 and we rely heavily on our written communication skills in order to make it work. We believe in giving our team agency and control over their schedules: we avoid standing meetings, and default to asynchronous communication. There are no core working hours, we just ask our team to communicate clearly about their schedules and be considerate to their coworkers if plans change. You will occasionally need to be flexible in order to meet synchronously with colleagues in different time zones.
The Role
This is a full-time, fully-remote position as a Data Scientist. In this role, you will:
- Design and build models to optimize the company's two-sided marketplace.
- Use analytics and experimentation to improve customer experience on the Pipe platform.
- Proactively explore datasets to uncover insights, and prototype new model-driven features and products that provide value to our customers.
- Use statistical modeling to better forecast our customers' cash flows and other drivers of business health.
Qualifications
We are looking for talented data scientists with past experience in a similar role. Specifically, ideal candidates will have:
- Strong written and verbal communication skills.
- Sound fundamentals in probability and statistics.
- Prior work in finance, financial forecasting, and/or optimization is a plus.
- Experience owning the end-to-end model development lifecycle.
- Educational background in Statistics, Computer Science, Financial/Applied Math, Operations Research, Economics, or a related technical field. Masters/PhD is a plus.
- Proficiency in SQL and at least one scripting language. Data Science culture at Pipe is closely aligned with engineering's, so successful candidates will be familiar with developer best practices and comfortable navigating production codebases.
In general, you will be successful at Pipe if:
- You take end-to-end ownership of your work and enjoy working with different functions across the company.
- You want to work in an environment that values and rewards excellence.
- You want to join a quickly growing startup and make an impact.
- You have a strong technical foundation, and are passionate about using your toolkit to help our customers succeed.
- You want to be part of a team that holds each other to high standards.
- You have strong written and verbal communication skills.
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:
- PostgreSQL, Bigquery, Spark, Superset, Baseten, dbt
- We are primarily a Python and Go shop, but experience in other languages will translate.
Compensation and Benefits
- A good work-life balance: we do our best work when we regularly can step away from it and live our lives.
- We want you to feel like an owner and that will be reflected in your salary and equity.
- Very good health, dental, and vision insurance.
- Great colleagues: we value a culture of authenticity, humility, and excellence.
- Flexible vacation and work hours. We don't adopt conventional work practices that are meaningless for the type of work we do.
- Parental leave for anyone who is growing their family, regardless of gender.
- The best equipment: if you want it, and it helps you do your job, we'll provide it. Computers, monitors, desks, chairs, headphones, speakers, microphones, webcams, keyboards, mice, etc.
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