Role Overview
As a Senior Machine Learning Engineer at Revecore, you will use your expertise in machine learning, exploratory data analysis, and software engineering to enhance the productivity and efficiency of our underpayment business. You will work on projects with purpose, such as prioritizing claims based on expected recovery dollars and improving our claim-remit matching process.
What You Will Do
You will own end-to-end development, training, deployment, evaluation, and improvement of machine learning systems to rank claim opportunities. You will analyze and explore data to identify actionable opportunities from internal and 3rd party data, and research, implement, and launch new model architectures that drive business impact.
Why It Might Be a Fit
You will be successful if you have an urge to question assumptions, and to get it right (or at least good enough) even if your first idea is wrong. You will be part of a collaborative and diverse culture with a great work/life balance, and you will have opportunities for career growth and professional development.
Requirements
- Bachelor's degree in any data-centric field
- Experience working in a similar role, with a focus on machine learning or data science
- Experience developing and deploying machine learning models in a production environment
- Strong experience with Python, including scikit-learn
- Ability to wrangle data, perform exploratory data analysis, and draw insights from visualizations
Benefits
- Paid training and incentive plans
- Comprehensive medical, dental, vision, and life insurance benefits from the start of employment
- 12 paid holidays and flexible paid time off
- 401(k) contributions
- Employee Resource Groups that build community
- Career growth opportunities
- An excellent work/life balance
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