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Gusto's Data Science team needs to drive customer facing upsell motions by improving a model-driven recommendation platform, building lead scoring for sales outreach, and predicting customer preferences to increase long-term customer value.

Requirements

• 7+ years experience building sophisticated and scaled data products with deep domain knowledge of machine learning techniques.
• Experience developing and deploying modeling solutions in production code using Python such as propensity scoring, recommendation engines, and forecasting.
• Strong programming skills - comfortable with all phases of the machine learning lifecycle, from initial analysis and model prototyping all the way through to monitoring and retraining.
• Experience leveraging customer feedback, chat transcripts, and LLMs as both inputs to the model and to generate outputs from a model is a plus

Responsibilities

• Build and deploy models and data products to support internal decision-making, delight our customers, and make our AI solutions even more intelligent.
• Drive research into the problem space, work with stakeholders to understand model requirements, develop the model from scratch, deploy the model alongside your engineering counterparts, and monitor and maintain model performance over time.
• Partner with Engineering, Design, and Product as well as Revenue counterparts in Sales and Customer Success to solve complex cross functional problems.
• Envision and contribute to a robust code base that accelerates machine learning workflows and integrates best practices into our day-to-day operations (including how we partner with AI).
• Learn and build iteratively so we can pressure test opportunities to improve our customers’ experiences and our internal optimization frameworks.
• Knowledge share, mentor, and educate others on where machine learning and AI operate most effectively and what new ways we can drive more impact both within and outside of Gusto.

Other

• We love meeting people with different data backgrounds.
• Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion.
• PhD or Masters plus equivalent experience in a quantitative field is a plus.
• Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role).
• When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.