Data Scientist
SardineFull Time
Senior (5 to 8 years)
Candidates should possess 3-6+ years of experience as a Data Scientist, with a strong preference for fintech, lending, or capital products. Hands-on experience with sales/transaction data, such as card processing or e-commerce, is essential. A background in underwriting, risk modeling, or capital-as-a-service products is highly valued, as is proven experience in developing and deploying fraud or credit risk models end-to-end. Proficiency in production-quality coding with Python and SQL, along with some familiarity with data pipelines, is required. Excellent communication skills to translate technical insights into business outcomes are also necessary.
The Data Scientist will build and productionize models to transform sales and payment data into reliable credit signals and pre-approval pipelines. They will develop frameworks for handling and normalizing fragmented sales data for underwriting purposes. This role involves partnering closely with Product, Engineering, and Risk teams to design pre-approval strategies and enhance model accuracy. Responsibilities also include conducting exploratory analyses to identify key indicators of merchant growth and risk, translating insights into actionable tools and dashboards, and establishing best practices for experimentation and data validation in underwriting.
Provides B2B Buy Now, Pay Later solutions
Slope provides Buy Now, Pay Later (BNPL) solutions designed for business-to-business (B2B) transactions, specifically targeting small to medium-sized enterprises (SMEs). Their service allows these businesses to manage their working capital more effectively by offering flexible payment options. When a transaction occurs, Slope charges a 6% merchant fee and pays the merchant immediately after goods are shipped or services are delivered. This process removes the risk of bad debt and the burden of payment collections from the seller, enabling them to concentrate on growth. Slope differentiates itself from competitors by focusing exclusively on B2B transactions, simplifying access to capital for growing businesses and alleviating the financial pressures associated with traditional credit management.