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Applied Data Scientist
🧪 Really a Scientist 🧪

Climbcredit is hiring a
Applied Data Scientist

Who We Are
Climb Credit (NMLS# 1240013) is an innovative student financing and payments platform that makes career-advancing education more accessible, affordable, and accountable than ever before.

Climb identifies programs and schools with a demonstrated ability to improve the earnings of their graduates. Climb partners with schools that teach everything from cybersecurity to healthcare, heavy machine operation to data science, and culinary arts to coding.

We provide learners with financing and payment options that are priced and structured to meet the unique needs of those seeking career elevation and increased earning power.

Climb Credit’s mission is to expand access to career advancing education and we aim to do this for all communities. Therefore, we are committed to building a workforce that’s a representation of our learners. Climb fosters an inclusive work environment to all its employees; We celebrate diverse representation and diverse thinking.

To further this commitment, we’ve set a goal to promote inclusivity and equity in our workplace internally and with schools and financing providers externally. We do this through our company DEI Taskforce meetings to work through these initiatives. Climb acknowledges its power in providing access to educational opportunities and the positive impact of diversity, which is why we have taken on this commitment to push forward this work. We encourage our employees to be their most authentic selves and strive to create, nurture and sustain an inclusive culture for our employees and learners.

Climb’s Values
- Drive access and inclusivity
- Build a better system
- Own the solution
- Iterate and experiment
- Succeed together

Overview of Role
We are looking for a promising credit data scientist who is excited to join the Credit team at a fast-growing startup. The ideal candidate will have a strong data and analytics background, experience with analytical tools & technology, and a track record of producing insights and providing clear and actionable analysis for various stakeholders.

As part of the Credit team, you will:
Build, refine, and increase automation of monitoring and reporting via data warehouse, reporting tools for estimating the loan performance and establishing trends
Create forecasting, stress and scenario analysis tests.
Streamline systems to improve data collection, accuracy and analysis.
Work with stakeholders on reporting and data requests.
Support the development of loan underwriting models that drive loan originations while minimizing credit losses.
Collaborate intimately with internal teams on product development as well as cross-functionally to support company goals.

Your Background and Skills
1-2 years data scientist role with knowledge of statistical and machine learning techniques. 
2+ years experience using Python, running statistical analysis.
2+ years experience with SQL and data visualization tools.
1+ years of experience with data manipulation and analysis with large data sets on top of large databases and visualization tools. 
Willingness to take initiative and solve problems with limited direction.
Ability to think critically and challenge assumptions.
Excited to learn and understand business objectives, and help ensure that our products deliver value to students and schools
Ability to work in a very fast-paced and fluid small-team environment at a growing company
Strong oral and written communication skills
Professional, detail-oriented, and energetic personality
Ability to succeed in an entrepreneurial culture
Values diverse, inclusive teams and creating an environment where people of all identities, experiences, and backgrounds can thrive

Nice to Have: 
Consumer credit knowledge, particularly in student loans.
Bachelor’s Degree or a Master’s Degree in a quantitative field, such as mathematics, financial engineering, data science, econometrics, etc.
Demonstrate passion for Climb’s mission to expand access to quality education
Capable of rapid expansion into larger responsibilities as the company grows.
Strong belief in continuous self-improvement.

How to Apply?
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