Machine Learning Engineer III
| Company | Cedar |
|---|---|
| Location | Remote in USA, New York, NY, USA |
| Salary | $170000 – $200000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 5+ years of experience working with data, with 3+ years of experience in machine learning in an industry setting
- Expertise in both SQL and Python is required
- Expertise in machine learning techniques such as regression, classification, clustering, and ensemble methods; not only in training performant models, but also how to use them successfully for business impact and how to employ effective guardrails
- Experience productionizing models and knowledge of cloud platforms such as AWS
- Excellent communication and collaboration with stakeholders, acting as a thought-partner for other data scientists and cross-functional teams
- Strong analytical ability and an understanding of statistical methods
- Understanding of software engineering principles
- A mindset focused on growth and learning, with a desire to take on new challenges and expand your impact over time
- Problem-solving ability, with the interest to further grow this skillset and apply strategic thinking to make key decisions relating to Cedar’s ML product features
Responsibilities
- Develop a deep understanding of Cedar patients and our product, including the mechanisms of Cedar’s platform and Cedar’s data
- Build and optimize pipelines for data extraction, processing, and transformation; perform in-depth data analysis, data cleaning, and feature engineering on (mostly) structured, tabular data
- Design, build, and deploy scalable and maintainable machine learning solutions that solve key problems for our patients and customers
- Rigorously evaluate the effectiveness of machine learning models by analyzing their performance, and identify opportunities for iteration and improvement
- Collaborate closely with data engineers and product engineers to productionize pipelines and ML solutions
- Present and clearly communicate findings and underlying methodology to partners across all levels of the organization, and present externally to Cedar clients
- Work cross-functionally to identify and evaluate opportunities where machine learning can drive business impact and competitive advantage
- Take ownership of end-to-end machine learning projects, from ideation to deployment, with increasing autonomy as you grow in the role
Preferred Qualifications
- Experience working with healthcare data or payments/billing data is a plus, but not required