Senior Data Scientist

🕒 June 1

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Greenbox Capital

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

Greenbox Capital is a direct funder in the merchant cash advance industry providing small businesses access to much needed working capital through merchant cash advances, invoice factoring and short-term small business loans. As a technology-driven alternative lender, Greenbox Capital’s enterprise solution, The Box, stands head and shoulders above other Fintech products. The Box increases deal security to brokers vastly improving the speed of funding and quality of underwriting for scaling and overhauls traditional means of obtaining capital with a seamless experience for the customer.

📋 Description

• Design, build, and deploy predictive models that directly impact credit, risk, and product performance • Apply causal inference and experimentation to improve model and business outcomes • Partner with product, risk, and leadership teams to translate business needs into data-driven solutions • Communicate insights clearly to influence strategic decisions • Support production deployment and ongoing optimization of models • Monitor performance and continuously improve model accuracy and reliability

🎯 Requirements

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field required; advanced degree (MS, PhD, or MBA) preferred • 8+ years of experience in data science, predictive modeling, and financial analytics • Proven success developing and deploying machine learning models in FinTech or financial services • Experience in merchant cash advance, revenue-based financing, or alternative small business lending (strongly preferred) • Experience working in startup or high-growth environments and scaling systems • Advanced proficiency in Python for model development and system design • Strong experience with SQL and large-scale data analysis • Deep expertise in statistical modeling, machine learning, and feature engineering • Experience designing and analyzing A/B tests and applying causal inference methods • Experience with model deployment, monitoring, and lifecycle management • Familiarity with Databricks, MLflow, and modern MLOps practices

🏖️ Benefits

• 💸 Competitive Pay - We know your worth and we pay accordingly. • 🌴 Flexible PTO - Work hard, rest well. Take the time you need to recharge. • 🏡 Remote - Fully remote within the U.S., working Eastern Time hours to keep everyone aligned. • 🩺 Full Benefits Package - Health, dental, vision • 🧠 Smart, Supportive Teammates - Collaborate with sharp minds who are kind, driven and uphold our core values!