Data Scientist, Slope
$150-250k
Buy now, pay later for B2B businesses
Open for applications
Buy now, pay later for B2B businesses
21-100 employees
Open for applications
$150-250k
21-100 employees
Company mission
To make it super easy for folks to offer short-term financing to their business buyers, helping businesses to thrive.
Role
Who you are
- 5+ years experience in advanced statistical modeling with strong technical skills, preferably in both model development and deployment
- Master’s or Ph.D. in Quantitative Finance, Statistics, Computer Science, Mathematics, Economics, or related field
- Experienced with machine learning concept and risk modeling techniques such as regression, decision trees and boosting; experience with building data products using LLM is strongly preferred
- Strong skill set with Python (including sklearn, pandas, numpy, etc.) and SQL
- Experience with consumer / small business lending and payments risk management (credit and/or fraud); knowledge of using alternative data sources for underwriting, such as e-commerce and accounting data, is strongly preferred
- Excellent written and verbal communication skills; ability to clearly explain data science work and collaborate with stakeholders to execute
- Attention to detail, strong work ethic, and a relentless drive; enjoy a fast-paced and results-driven culture
- Excel and enjoy a collaborative and in-person workplace
- Comfortable with handling ambiguity and creating processes from scratch. We are growing fast and still learning
- A demonstrated ability to get stuff done. In an ideal world, you’ve worked in a fast-growing company and know what we should be doing today, in one year, and in two years
- Self-directed and able to work with minimal supervision
- Iterative mindset
What the job involves
- Build and deploy new models and constantly iterate on core risk models by developing new features, evaluating different modeling techniques and create differentiated strategies for each customer segment
- Manage large datasets, ensuring data quality, consistency, and reliability throughout the modeling process
- Evaluate new private and/or public data sources; interact with vendors to assess external data products
- Monitor model performance and proactively identify model deficiencies
- Collaborate closely with credit risk, customer success and GTM to align data science effort with business goals; provide timely support for questions or issues impacting customer experience or credit results
- Collaborate with data engineering teams to optimize data infrastructure and workflows
- Prepare documentation and reports for model development and validation processes; ensure model compliance with regulatory requirements and internal risk management standards
Our take
Buy now, pay later financing options are growing increasingly popular in the B2C space, but so far B2B businesses have been underserved. Slope seeks to address this imbalance, making it easier for B2B businesses to offer buy now, pay later financing options at checkout through its platform.
Compared to other providers, Slope's technology is fast and effective. It's no surprise that the company has already made a considerable impact, and boasts the backing of companies such as DoorDash and Opendoor. Slope has been growing at an impressive pace, especially in North America and Asia, bagging impressive funding that will allow it to scale.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jul 2024
$32.5m
EARLY VC
Sep 2023
$30m
EARLY VC
Total funding: $94.5m
Company HQ
SoMa, San Francisco, CA
Leadership
Lawrence Lin Murata
(Co-Founder & CEO)Previously founded Newton Technologies and worked as Head of AI Platforms and Data Science at Nauto.
Alice Deng
(Co-Founder & CPO)Previously worked as a Product Manager at Dropbox, and co-founded Glisten.ai.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 2 more jobs at Slope