We are looking for a hands-on Data Scientist to implement statistical models for credit underwriting, risk management, and forecasting. The role involves working with senior scientists, designing and building models, and deploying and monitoring model performance. The ideal candidate has experience developing machine learning models, proficiency in Python, and a strong understanding of probability, statistics, and machine learning.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
About Pipe
Pipe is building cutting-edge embedded financial solutions to help small businesses and software companies build something bigger. We’re a remote-first team of problem solvers who build and ship at a high velocity. We’re customer obsessed and leave our egos at the door. If this sounds fun, join us!
The Role
We are looking for a hands-on Data Scientist who wants to use Python to implement statistical models for the purposes of credit underwriting, risk management, and forecasting. You will learn a ton about fintech in this role and there are significant career growth opportunities at Pipe. Your key responsibilities will include:
- Working with senior scientists to use statistical modeling to forecast our cash flows and other drivers of business health.
- Designing and building models to optimize the company’s product offerings.
- Proactively exploring datasets to uncover insights, and prototyping new models that provide value to our customers.
- Deploying and monitoring model performance, in close collaboration with engineering.
Qualifications
We are looking for a motivated, curious Data Scientist with the following qualifications:
- Experience developing machine learning models and tasks such as model training, evaluation, and deployment.
- Proficiency in Python and tools such as NumPy and Pandas to manipulate data.
- Working knowledge of coding tools such as GitHub, VS Code, and similar.
- Sound fundamentals in probability, statistics and machine learning.
- Comfortable collaborating with others and communicating progress, decisions, and results clearly.
- Good written and verbal communication skills.
- Bachelor’s degree in one of: Computer Science, Financial/Applied Math, Statistics, Economics, or a related technical field. Masters is a plus but not required.
- As a bonus, prior experience with credit risk modeling or underwriting would be great.
Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
In general, you will be successful at Pipe if:
- You want to join a quickly growing startup and make an impact.
- 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 toolkit to help our customers succeed.
- You take end-to-end ownership of your work and enjoy working with different functions across the company.
- You have strong written and verbal communication skills.
- You want to work in an environment that values and rewards excellence.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Many good candidates do not fit job descriptions perfectly. If you believe you are a good fit, we encourage you to apply.
Compensation and Benefits
We are a fully remote company and we believe in taking care of our employees. As a Pipe employee, you’ll receive:
- The best equipment to help you do your job.
- Flexible vacation and work hours. We believe in a healthy work-life balance (really!)
- Excellent health, dental, and vision insurance.
- Generous parental leave for anyone who is growing their family, regardless of gender.
- Great colleagues! We value a culture of authenticity, humility, and excellence. We want you to make a mark on our culture.
We are working to build amazing products, and an amazing place to work too.
Similar Jobs
Explore other opportunities that match your interests
Medix™
Brooksource