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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Finance Data Scientist - **Company:** CO FINANCIAL, INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** 3d Models, Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, Spreadsheets, Mobile Application Development, Software as a Service, Software Documentation, Information Engineering, Data Integrity, Data Presentation, Data Warehousing, Cursor (Graphical User Interface Elements), Python (Programming Language), Raw Data, SQL Databases, Prophet, Data Strategy, Pandas, Scikit Learn, Data Pipelines - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pecfvpoqv6 ## About the Role * 3+ years in Data Science, Strategic Finance, or Revenue Analytics, with a deep focus on SaaS or usage-based business models. * Advanced Technical Skills: High proficiency in Python (pandas, scikit-learn) and Expert-level SQL. Experience with forecasting libraries (e.g., Prophet, Nixtla) is a major plus. * System Design Mindset: Experience building scalable data pipelines and production-grade analytical tools, not just one-off spreadsheets. * SaaS Mastery: Strong understanding of NRR, LTV, Churn, and the relationship between product usage and revenue. * Communication: Ability to translate technical work into business insight and influence stakeholders through data-driven storytelling. * Business Judgment: A focus on accuracy and a "Product Sense" that allows you to see the human behavior behind the data points. * AI-Augmented Productivity: Proficiency in leveraging AI-native development tools (e.g. Cursor, Claude Code) to accelerate the development of data pipelines, model prototyping, and code documentation., * Automated forecasting models that are more accurate, granular, and less manual than previous iterations. * A clear Propensity Score integrated into our planning that successfully predicts customer expansion and contraction. * Scalable, code-based workflows that reduce the time-to-insight for the Existing Business team. High confidence from leadership in our ability to predict the financial impact of changing customer usage patterns. ## Description As a Senior Finance Data Scientist, Existing Business, you will be the architect of the systems that predict Fin's revenue future. You will move beyond static reporting to build production-grade forecasting models that translate complex customer behaviors into financial signals. You will work on high-impact, open-ended problems, such as predicting expansion propensity and modeling long-term customer LTV. This role requires a hybrid of financial intuition and technical rigor: the ability to navigate raw data warehouses and the strategic mindset to explain the "why" behind the numbers to our leadership team. The Impact You Will Have * Own and Evolve the Revenue Engine: Build and maintain predictive models for usage-based revenue, renewals, and expansion that outperform traditional linear forecasts. * Unlock Predictive Insights: Develop propensity models to identify expansion opportunities and churn risks before they materialize in the ledger. * Architect Finance Data: Design and maintain curated datasets that serve as the single source of truth. * Model Customer Value: Define and iterate on our LTV frameworks, providing a clear linkage between product engagement and long-term financial outcomes. Drive Scalability: Build automated, code-based forecasting workflows that increase the speed, reliability, and granularity of our financial planning. What will I be doing? Predictive Modeling and Forecasting Systems * Build and own probabilistic and time-series models that project ARR performance across renewals and usage-based motions. * Incorporate behavioral signals, such as product adoption, seat utilization, and feature engagement, into expansion propensity and LTV frameworks. * Design models that account for cohort dynamics, seasonality, and product-led growth (PLG) signals. * Evaluate model performance through backtesting and iteration, ensuring our "financial weather forecast" is constantly improving. Data and Analytical Infrastructure * Own the end-to-end data pipeline for finance, transforming raw product usage and billing data into curated, model-ready datasets in our data warehouse. * Write and optimize production-quality SQL and Python to work with large-scale datasets and automate complex FP&A workflows. * Ensure data integrity and consistency across all predictive systems and executive dashboards. * Contribute to the long-term data strategy for how Fin tracks and predicts Existing Business health. Analytical Problem Solving * Translate ambiguous business questions (e.g., "Which usage signals best predict a 2x expansion?") into structured data science projects. * Connect ARR outcomes to underlying drivers like product adoption, customer health scores, and GTM activity. * Perform scenario modeling and sensitivity analysis to help the business understand the range of possible outcomes for NRR. Business Partnership & Communication * Partner with Sales, Product, and Data Engineering to align our financial models with actual customer behavior and product roadmaps. * Translate complex statistical outputs into clear, decision-oriented narratives for the CFO and executive leadership. * Build executive-ready materials, including predictive dashboards and strategic presentations. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)