Machine Learning Engineer
Interested in cutting edge Machine Learning techniques in the areas of NLP, Time-Series Forecasting, and Survival Analysis? As a Senior Machine Learning Engineer at GoHealth, you will be responsible for working closely with business stakeholders to build end-to-end data science models across all aspects of our diverse business. This includes projects for call-center traffic projection, agent-behavior modeling, and customer retention decay curves. You will also contribute to the deployment, maintenance and continual improvement of our real-time production models, as well as the underlying AWS deployment pipeline.This role reports directly to our VP of Advance Analytics.
Responsibilities:
- Develop data and predictive models for solving business problems, and in improving GoHealth's software products and business processes
- Evangelize software engineering best practices and proactively identify technical debt and other issues related to improving SLA
- Seek out ways to automate and accelerate development of data-driven products, and then implementing them
- Maintain and look to improve our Machine Learning Deployment Pipeline on AWS Sagemaker
- Collaborate with business stakeholders, business operations, and product engineering teams in analyzing business problems, building and testing solutions and data models, and implementing the algorithms and results of the models
- Work closely with Data Engineers in designing the schemas and data pipelines needed for downstream use by regression models and jobs
- Author formal and informal reports that effectively communicate the models and the results to both technical and non-technical audiences
- Confer with Data Science, Product, and Engineering stakeholders:
- To define and implement new data-powered products, and predictive models
- To deploy and maintain them in production as RESTful services and/or batch jobs
Skills and Experience:
- Master's or PhD in Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
- 1+ years of experience demonstrating trajectory of professional growth in data science or machine learning
- Skilled in the the following:
- Machine learning, data science modeling - using scikit-learn, tensorflow, pytorch, and relevant technologies
- Python - scikit-learn, pandas, numpy
- Python unit testing framework - pytest, nosetest, or other testing frameworks
- AWS ecosystem, and preferably with docker and/or Linux/Unix experience
- Relational databases and SQL including MySQL, Postgres, SQL Server, Oracle, or equivalent
- Web service architecture, e.g. REST, SOAP, etc.
- Version control systems using Git, Bitbucket, SVN, or Team Foundation
- Software engineering practices
- Strong analytical and problem solving ability with strong attention to detail and accuracy.
Additional Information:
- Open vacation policy
- 401k program with company match
- Medical, dental, vision, and life insurance benefits
- Flexible spending accounts
- Subsidized gym memberships
- Commuter and transit benefits
- Professional growth opportunities
- Casual dress code
- Generous employee referral bonuses
- Happy hours, ping-pong tournaments, and more company-sponsored events
- GoHealth is an Equal Opportunity Employer
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