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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Parafin Inc - **Location:** San Francisco, CA, United States (Remote available) - **Salary:** $200,000.0 - $330,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Data Infrastructure, Machine Learning, Feature Engineering, Large Language Models, Information Technology, Xgboost, Streamlit Framework, Data Pipelines - **Published:** May 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7c9299f297121c08 ## About the Role Do you have experience in Stakeholder relationship building?, Do you have a Bachelor's degree?, Bachelor's Degree (or higher) in Computer Science, Statistics, Mathematics, Data Science (or related fields). We believe the most effective data scientists bring the following skills to their work: * Statistical Reasoning + Approach data analysis with a critical, intellectually honest eye + Design concise metrics that guide decision making + Use robust causal inference methods + Develop valid and predictive machine learning models * Business Acumen + Identify and effectively prioritize business problems + Solve business problems using appropriate data science techniques ## Description Our mission is to help Parafin succeed by leveraging the vast data that powers our platform. Our team partners closely with leaders across the company to drive impact. This role's scope includes: Growth: We design experiments and analyses that expand access to capital while keeping the portfolio healthy. Example projects: * Designing experiments that navigate the tradeoff between growth and risk - expanding access to capital while keeping the portfolio healthy * Studying the full merchant lifecycle - first offer, repayment, repeat capital - to find where we can responsibly extend more * Modeling how a prospective partner's portfolio would perform on our platform, so we can size new opportunities before launching Portfolio Monitoring & Servicing: We build models and tooling that forecast portfolio performance and measure the impact of our servicing efforts on merchant outcomes. Example projects: * Building and shipping ML models (XGBoost and friends) that forecast merchant repayment behavior - from feature engineering through production deployment - to inform how we price and size offers * Measuring whether our servicing actually works - how much balance we recover after reaching out to a struggling merchant, and what interventions move the needle Infrastructure: We build the data pipelines, automated systems, and internal tools that let the rest of the company operate at scale. Example projects: * Building the data pipelines that power every analysis, dashboard, and ML model across the company * Automating processes - lien filings, KYC checks, fraud screens - using APIs, ML, and LLMs * Building internal tools - Streamlit apps, dashboards, Slack bots - that the rest of the company uses every day Beyond these focus areas, our team helps expand our impact by recruiting exceptional talent, improving our tools, and supporting each other through regular seminars and project reviews., + Anticipate the impact of your work on our financial performance, customers, and compliance obligations * Engineering Mindset + Write legible, reliable, and tested code + Build or source tools to boost the team's efficiency + Contribute to model and data infrastructure design * Leadership and Collaboration + Model Parafin's values of efficiency, intellectual honesty, accountability, and empathy + Build trusted relationships with stakeholders + Document work, seek feedback, and share learnings proactively + Mentor other DS members on the team + Management experience, a plus! * Focused Execution + Prioritize high-impact use of your time + Scope projects rigorously + Act with urgency * AI Tool Fluency + Rapidly learn and adopt emerging AI tools and workflows to accelerate analysis + Critically evaluate AI-generated outputs for accuracy and reliability ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Industrializing your Data Science capabilities](https://www.wearedevelopers.com/videos/178-industrializing-your-data-science-capabilities) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Developers Are Building to Win $1 Million with Apify](https://www.wearedevelopers.com/magazine/677-what-developers-are-building-to-win-1-million-with-apify) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)