Digital Experience Analyst
NationsBenefits
PythonSQL
Machine Learning Engineer, Growth
Gusto
full-time
Posted on:
Origin: • 🇺🇸 United States • California, Colorado, New York, Washington
Visit company websiteSalary
💰 $165,000 - $250,000 per year
Job Level
SeniorLead
Tech Stack
Python
About the role
- 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.
Requirements
- At least 7+ years experience building sophisticated and scaled data products with deep domain knowledge of machine learning techniques, or MS/PhD with 4+ years in business environment, or BS/Data Science Bootcamp with 7+ years experience.
- 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.
- Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders.
- PhD or Masters plus equivalent experience in a quantitative field is a plus.
- Experience leveraging customer feedback, chat transcripts, and LLMs as both inputs to the model and to generate outputs from a model is a plus.
