<div class="content-intro"><p>To thrive as a company and meet our impact goals, we must cultivate a culture of high-performance. You can read about our culture principles <a href="https://guild.com/careers" target="_blank">here</a>.</p> <p>We know managers are often the single-largest driver of employee satisfaction and growth, and our talent is our biggest asset. Because of that, we’ve identified consistent expectations for all of <a href="https://guild.com/careers/people-manager-expectations">Guild’s people managers</a> — helping you know what to expect from your experience here.</p> <p>If you are an Internal Candidate, please apply via our <a href="../../internal_job_board">Internal Job Board</a>. </p> <p>----</p></div><p><span style="color: #000000;">Guild is hiring a <strong>Lead Data Scientist, Forecasting</strong> to scale the impact of our Forecasting and Financial Analytics team. You'll own and improve critical components of our most complex and most important forecasting model — working inside a modern, modular forecasting system and experimentation framework to drive step-change improvements in how well we forecast clients' education benefit program.</span></p> <p><span style="color: #000000;">As a <strong>Lead Data Scientist, Forecasting</strong>, you will:</span></p> <ul> <li style="color: #000000 !important;"><span style="color: #000000;">Develop and improve the usage-based forecasting models for critical components of clients' education benefit with Guild, using advanced statistical and machine learning techniques.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Raise forecast accuracy and shorten the monthly refresh cycle, using a backtesting and experimentation framework to test methodological changes with rigor. Build tooling and process to catch correctable model issues.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Transfer modeling logic out of individual heads into well-structured, documented, tested code, building redundancy on a business-critical forecast.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Partner cross-functionally with Analytics, Data Science, Data Engineering, Product, and Technology teams to improve the data, systems, and infrastructure the forecast depends on.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Mentor and guide junior team members, fostering a culture of continuous learning and innovation.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Produce insights, analyses, and recommendations to help internal stakeholders understand forecast drivers and the impact on client and internal business metrics.</span></li> </ul> <p><span style="color: #000000;">You are a strong fit for this role if you have:</span></p> <ul> <li style="color: #000000 !important;"><span style="color: #000000;">5+ years of total experience in analytics, data science, forecasting, or financial planning & analysis.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Strong experience with SQL and experience transforming and structuring large datasets into reusable formats.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Proficiency in Python and/or R, with depth across time-series and machine learning forecasting methods and sound judgment about the tradeoffs among accuracy, interpretability, and stability.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Experience operationalizing models — backtesting, validation, monitoring, drift detection, retraining — ideally on a platform such as Databricks with experiment tracking (e.g., MLflow).</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">A track record of getting productive quickly in an existing codebase and improving it collaboratively.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Experience with Looker, Tableau, Omni, or similar data visualization tool.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Fluency with AI-assisted development tools such as Cursor, Claude Code, or similar coding agents.</span></li> <li style="color: #000000 !important;">The ability to translate forecasts, including their uncertainty, into clear recommendations for non-technical stakeholders.</li> </ul> <p><span style="color: #000000;"><em>We are committed to equal pay for equal work and believe in compensation transparency. All salary ranges are standardized nationwide and will not vary by region. This role offers a competitive total compensation package, including a base salary of $140,000 - $200,000 and stock options. Compensation offered will be based on a combination of factors such as experience, competencies, and internal equity.</em><br><br><strong>Posting Date</strong>: 10/26/26<br><strong>*This role will stay open for a minimum of 3 days.</strong><br><br></span></p><div class="content-conclusion"><p>Guild partners with the country’s most innovative employers, including Chipotle, Target, Walgreens, JPMorgan Chase, Hilton, Spectrum, PepsiCo, Tyson, and more, to build the talent needed for today and a resilient workforce for tomorrow