Senior Data Scientist

Greenbox Capital

5d•Remote

About The Position

At Greenbox Capital, we help small businesses thrive by providing fast, accessible funding. As a Senior Data Scientist, you’ll play a key role in building and scaling the predictive models that power our credit decisioning, risk management, and fraud prevention strategies. Your work will directly influence how we evaluate opportunities, optimize profitability, and deliver smarter, faster decisions to our customers. You’ll drive results across machine learning, experimentation, and data-driven strategy, helping us continuously improve our products and operations. This role reports to the VP of Technology and is a critical contributor to our data science function and overall growth strategy.

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
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
Demonstrated ability to analyze complex problems and deliver data-driven solutions with measurable impact
Strong ownership and accountability in a fast-paced, growth-oriented environment
Naturally curious and continuously seek to improve models, systems, and processes
Communicate complex ideas clearly to both technical and non-technical audiences
Collaborate effectively across global, cross-functional teams
Exhibit a growth mindset and adaptability when working with evolving data and business needs

Nice To Haves

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
Familiarity with Databricks, MLflow, and modern MLOps practices

Responsibilities

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