Data scientist machine learning engineer

Evolent Health; Des Moines (IA); Remote; USD 120,000 - 150,000; Full time

Job summary

Join a leading health technology company focused on improving healthcare outcomes through advanced machine learning. As a Machine Learning Engineer, you will design and deploy models, analyze healthcare data, and collaborate with various teams to enhance our platforms. This role offers flexibility and a commitment to diversity and inclusion, alongside a competitive salary and comprehensive benefits.

Benefits

Health Insurance

Qualifications

• At least 2 years of experience in SQL and cloud environments.
• Experience deploying ML systems into production.

Responsibilities

• Design and deploy machine learning models to improve prior authorization platforms.
• Collaborate with teams to integrate ML models into production environments.

Skills

Python

Machine Learning

Data Mining

Problem-Solving

Education

Bachelor's Degree in Computer Science

Master’s or Ph.D. in related field

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 the autonomy needed to get things done. We believe that people perform their best when supported to live their best lives and when they feel welcome to bring their whole selves to work. That’s why 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 drive the development, efficacy, and improvement of our 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 MLOps efforts to streamline deployment, maintenance, monitoring, and improvement of machine learning models.
• Perform data mining to uncover insights, inform decisions, and identify automation opportunities across platforms.
• Implement feature flagging for rapid pilot testing, exception handling, and performance optimization.
• Translate complex technical details into clear insights for stakeholders by storytelling with data.
• Stay current with ML and AI advancements; test and integrate new techniques into applications.
• Mentor junior engineers, fostering continuous learning and improvement.

Required Qualifications:

• Bachelor's Degree in Computer Science, Machine Learning, Data Science, or related field; Master’s or Ph.D. preferred.
• Proficiency in Python and ML frameworks/libraries like Keras, PyTorch, Scikit-Learn, TensorFlow, XGBoost.
• Expertise in statistical methods, data structures, algorithms, feature engineering, and data mining.
• At least 2 years of experience in SQL, developing complex queries.
• At least 2 years of experience in a cloud environment (AWS, GCS, Azure).
• At least 2 years of experience with GitHub, CI/CD, and source control.
• Experience working within an Agile environment.
• Proven experience deploying ML systems into production.
• Healthcare experience, especially with administrative and prior authorization data, is highly valued.
• Strong problem-solving skills, ability to navigate ambiguity, and develop innovative solutions.
• Experience collaborating with Product, Engineering, Infrastructure, and Architecture teams.
• Proficiency with Azure cloud services, Azure ML Studio, and MLOps preferred.
• Experience with deep learning, reinforcement learning, NLP, and LLMs is a plus.
• Experience with feature flagging is a plus.
• Publications or contributions to the ML community are a plus.

Technical Requirements:

Employees need high-speed internet (>10 Mbps) and, for call center roles, the ability to connect directly to the home router. These requirements may change with office reopenings.

Equal Opportunity Employer: Evolent considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. For accommodations, contact [e-mail].

The salary range for this position is $120,000 - $150,000, plus potential bonuses based on performance. We offer comprehensive benefits, including health insurance. Compensation varies based on skills and experience.

Interested in other roles? Submit your contact info and resume, and we’ll reach out if a match is found!