GUILD is an AI-native defense contractor that turns government requirements into manufactured aerospace parts, from planning through delivery. Backed by Y Combinator.
About the role
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 here . 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 Guild’s people managers — helping you know what to expect from your experience here.
What they're looking for
- 5+ years of total experience in analytics, data science, forecasting, or financial planning & analysis
- Strong experience with SQL and experience transforming and structuring large datasets into reusable formats
- 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
- Experience operationalizing models — backtesting, validation, monitoring, drift detection, retraining — ideally on a platform such as Databricks with experiment tracking (e.g., MLflow)
- A track record of getting productive quickly in an existing codebase and improving it collaboratively
- Experience with Looker, Tableau, Omni, or similar data visualization tool
More about this role
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 here .
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 Guild’s people managers — helping you know what to expect from your experience here.
If you are an Internal Candidate, please apply via our Internal Job Board .
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Guild is hiring a Lead Forecast Modeling Analyst 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.
- Develop and improve the usage-based forecasting models for critical components of clients' education benefit with Guild, using advanced statistical and machine learning techniques.
- Raise forecast accuracy and shorten the monthly refresh cycle, using a backtesting and experimentation...
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