> Markdown version of [/jobs/ext/4009891-lead-data-scientist](https://www.wearedevelopers.com/jobs/ext/4009891-lead-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - **Company:** Harnham Inc. - **Location:** Tempe, AZ, United States - **Experience:** Expert - **Salary:** $140,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Computer Engineering, Python (Programming Language), Machine Learning, Standard Sql, Xgboost - **Published:** October 29, 2026 - **Apply:** https://www.careerboard.com/us/en/find-jobs-in-United-States/-FD9211089601B29D67/ ## About the Role * 8+ years of Data Science, Quantitative Analytics, Risk Analytics, or Modeling experience. * Advanced Python and SQL skills. * Strong foundation in statistics, mathematics, econometrics, or quantitative modeling. * Experience building machine learning models, including gradient boosting techniques. * Proven experience owning projects independently and delivering business results. * Strong communication skills with the ability to present technical concepts to non-technical executives. * Experience operating within regulated environments and supporting model audits. Required Domain Experience Candidates must have experience in financial or risk modeling environments, including areas such as: * Credit Risk Modeling * Probability of Default (PD) Modeling * Loss Forecasting or Credit Loss Assessment * Financial Risk Analytics * Scorecard Development * Payment Behavior Modeling * Credit Attribute Modeling * Banking, Lending, Credit Bureau, Mortgage, or Consumer Finance Analytics * Quantitative Risk Management Preferred Education Bachelor's degree in a quantitative discipline such as: Mathematics Statistics Economics Computer Science Engineering Related quantitative field Master's degree in Data Science, Statistics, Applied Mathematics, Economics, or a similar quantitative field is highly preferred., This role is perfect for a senior individual contributor or lead-level data scientist who enjoys solving complex financial problems, building production-ready models, proving business value through analytics, and operating as a trusted strategic partner to leadership. ## Description A highly respected organization is seeking a Lead Data Scientist to tackle complex financial risk problems, uncover multi-million-dollar business opportunities, and deliver analytics that directly influence executive decision-making. This is a high-visibility position where your work will be implemented, measured, and tied directly to business outcomes. If you're someone who enjoys owning projects end-to-end, defending your analytical thinking, and seeing your work create measurable financial impact, this opportunity offers a rare combination of technical depth, business influence, and autonomy. What You'll Do * Lead the development of predictive and quantitative models that drive critical business decisions. * Analyze large-scale financial and credit-related datasets to identify opportunities and risks. * Build, enhance, validate, and defend sophisticated risk models within a regulated environment. * Translate complex model outputs into clear financial recommendations and measurable business value. * Partner directly with senior leadership and executive stakeholders to present findings and influence strategy. * Own projects from initial problem definition through deployment and business adoption. * Support external audits and confidently explain model methodology, performance, and governance., You'll join a lean, high-performing team responsible for identifying and delivering opportunities worth millions of dollars annually. Leadership places significant value on data-driven decision-making, and the right person will have direct exposure to executives while maintaining ownership of mission-critical initiatives.