Sr Analyst, Data Science

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Fundbox is a fast‑growing Fintech startup that provides an embedded working‑capital platform for small businesses. Using technology, we help small businesses optimize cash flow and have unlocked over $3 Billion in working capital for more than 500,000 businesses since 2013.

As a Senior Data Science Analyst, you will deliver next‑generation data science and decisioning capabilities that power our automated credit underwriting and other business functions. Your work will influence credit decisions, customer experience, marketing, collections, and fraud prevention.

• Bachelor’s degree in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, etc.)
• 2+ years of experience in data science, data analysis, or a quantitative role; experience in credit or fintech is a plus.
• Extensive Python experience, including the use of numpy, pandas, scipy, and scikit‑learn.
• Knowledge of SQL, Snowflake, data lakes, and cloud computing environments is preferred.
• Ability to explore new ideas and stay up‑to‑date on emerging data science and machine learning technologies, including GenAI and LLMs.
• Excellent written and verbal communication skills for delivering clear insights.
• Experience formulating business problems that involve complex data and models.
• Collaborative mindset with the ability to work across disciplines and explain models and methods effectively.

• Research, develop, and deploy cutting‑edge machine learning and AI models, including GenAI and LLMs, to solve complex business problems and improve underwriting workflows.
• Deliver, monitor, and manage data science models and workflows across all business functions—including credit underwriting, customer management, marketing, collections, and fraud.
• Perform data analysis, cleaning, and feature engineering on large datasets to uncover insights and signals for modeling and policy decisions.
• Initiate independent research projects that drive business impact and result in real‑world solutions.
• Communicate and collaborate with finance analysts, software and data engineers, and product managers to produce measurable business outcomes and enhance customer experience.

• Innovative: stays current on state‑of‑the‑art methods and seeks opportunities to apply them.
• Creative: challenges the status quo, asks tough questions, and pursues answers.
• Technical: writes code, researches problems, and deploys data science models and pipelines using open‑source tools and cloud platforms.
• Statistically‑minded: builds, validates, backtests models, and applies rigorous analysis to inform decisions.
• Outcome‑focused: works backward from tangible business outcomes, prioritizing high‑impact results that align with objectives.

We’re proud to be an equal‑opportunity workplace that values diversity and inclusion across gender, race, age, sexual orientation, religion, disability, and identity.

Compensation & Benefits: US base salary range $130,000 – $165,000 (adjusted by location and other factors). This figure reflects base salary only and excludes bonuses, equity, or additional benefits.

We offer the following benefits:

• Competitive compensation, including equity via restricted stock units.
• Generous PTO policy, including vacation and sick time.
• Monthly lunch budget.
• Wellness benefits: annual individual budget, mental and physical health resources.
• Professional development budget.
• Home‑office stipend.
• Premium health coverage from day one, with many options covered at 100% for employees.
• 401(k), life insurance, and disability benefits.

We were recently certified as a Great Place to Work with an employee satisfaction rate of 94%.

Seniority level:
Mid‑Senior;

Employment type:

Full‑time;
Job function:
Analyst.