Sr Data Scientist, Machine Learning (ML) Engineer

Your Future Evolves Here

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

Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business.

Join Evolent for the mission. Stay for the culture.

What You’ll Be Doing:

What You Will Be Doing:  

• Design, develop, and deploy advanced machine learning models and algorithms to primarily improve the performance of 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, spread 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

• Work with Infrastructure and Architecture teams to drive model efficiency, reliability, and scalability

• Leverage Azure DevOps for continuous integration and continuous deployment (CI/CD) of ML models

• Lead Machine Learning Operations (MLOps) to streamline the process of bringing a machine learning model into production, maintain, monitor, and identify opportunities for improvement

• Perform data mining as necessary to uncover insights, drive decision-making, and determine best channel approaches to drive automation across our platforms

• Implement feature flagging to rapidly pilot model enhancements, exception handling, and performance optimization

• Translate complex technical details into clear, actionable insights for stakeholders by telling stories through data

• Stay current with the latest advancements in ML and AI; testing and integrating new techniques into existing 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 requires; Master’s Degree or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

• Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost

• Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining

• 2+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks

• 2+ years of experience developing in a cloud environment (AWS, GCS, Azure)2+ years of experience with Github, Github Actions, CI/CD, and source control

• 2+ years working within an