Data scientist machine learning engineer

Evolent Health; Honolulu (HI); Remote; USD 120,000 - 150,000; Full time

Job summary

Join a leading healthcare company as a Machine Learning Engineer, where you'll design and deploy advanced ML models to improve healthcare outcomes. Collaborate with diverse teams, mentor junior engineers, and work in a supportive environment that values work/life balance and diversity.

Benefits

Health Insurance

Performance-based bonus

Qualifications

• At least 2 years of advanced experience in SQL.
• Experience working within an Agile environment.
• Healthcare experience with administrative and prior authorization data.

Responsibilities

• Design, develop, and deploy advanced machine learning models.
• Collaborate with Product and Engineering teams to integrate ML models.
• Mentor and guide junior engineers.

Skills

Python

Machine Learning

Data Mining

Agile

Education

Bachelor's Degree in Computer Science

Master's or Ph.D. preferred

Tools

Keras

PyTorch

Scikit-Learn

TensorFlow

XGBoost

Azure

GitHub

Job description

Your Future Evolves Here

Evolent partners with health plans and providers to achieve better outcomes for people with the most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of the fragmented healthcare system and ensure people receive the same level of care and compassion we would want for our loved ones.

Evolent employees enjoy work/life balance, flexible work arrangements, and autonomy to get things done. We believe that people do their best work when supported to live their best lives and when they feel welcome to bring their whole selves to work. Diversity and inclusion are core to our business.

Join Evolent for the mission. Stay for the culture.

What You'll Be Doing:

• Design, develop, and deploy advanced machine learning models and algorithms to improve our prior authorization platforms.
• Construct advanced SQL queries, perform preprocessing, feature engineering, and transformations to analyze healthcare data and ensure high-quality input for model training.
• Collaborate with Product and Engineering teams to integrate and deploy ML models into development and production environments across various locations in the US and India.
• Work closely with clinicians and stakeholders to develop, evaluate, and improve ML models.
• Coordinate with Infrastructure and Architecture teams to enhance model efficiency, reliability, and scalability.
• Leverage Azure DevOps for CI/CD of ML models.
• Lead Machine Learning Operations (MLOps) to streamline deployment, maintenance, and monitoring of ML models, and identify opportunities for improvement.
• Perform data mining to uncover insights, inform decision-making, and drive automation strategies.
• Implement feature flagging for rapid pilot testing, exception handling, and performance optimization.
• Translate complex technical details into clear insights for stakeholders through data storytelling.
• Stay current with advancements in ML and AI, testing and integrating new techniques into applications.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

Required Qualifications:

• Bachelor's Degree in Computer Science, Machine Learning, Data Science, or a related field; Master's or Ph.D. preferred.
• Proficiency in Python and ML frameworks/libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, XGBoost.
• Expertise in statistical methods, data structures, algorithms, feature engineering, and data mining.
• At least 2 years of advanced experience in SQL, including writing complex queries.
• At least 2 years of experience in a cloud environment (AWS, GCS, Azure) and source control (GitHub, CI/CD).
• Experience working within an Agile environment.
• Proven experience deploying ML systems into production.
• Healthcare experience, especially with administrative and prior authorization data, with a passion for solving healthcare problems.
• Ability to solve ambiguous and complex problems, breaking them down into manageable components and developing innovative solutions.
• Experience collaborating with Product, Engineering, Infrastructure, and Architecture teams.
• Proficiency with Azure cloud services, Azure ML Studio, and Azure MLOps is preferred.
• Experience with deep learning, reinforcement learning, NLP, and LLMs is preferred.
• Feature flagging experience is preferred.
• Publications or contributions to the ML community are a plus.

Technical Requirements:

All employees must have high-speed internet (>10 Mbps) at home. Call center employees should be able to connect directly to their home internet router. These requirements may change with office reopenings.

Evolent is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. If you need reasonable accommodation, contact [e-mail] for assistance.

The base salary range for this position is $120,000 - $150,000. It is eligible for a performance-based bonus. We offer comprehensive benefits, including health insurance. Compensation varies based on skills and experience.

Interested in other opportunities? Submit your contact info and resume, and we'll reach out if there's a match.