Data Scientist

Overview

Evolent Health has a bold mission to change the health of the nation by changing the way health care is delivered. Our pursuit of this mission is the driving force that brings us to work each day. We believe in embracing new ideas, challenging ourselves and failing forward. We respect and celebrate individual talents and team wins. We have fun while working hard and Evolenteers often make a difference working in everything from scrubs to jeans.

Are we growing? Absolutely and Globally. In 2021 we grew our teams by almost 50% and continue to grow even more in 2022. Are we recognized as a company you are supported by for your career and growth, and a great place to work? Definitely. Evolent Health International (Pune, India) has been certified as “Great Places to Work” in 2021. In 2020 and 2021 Evolent in the U.S. was both named Best Company for Women to Advance list by Parity.org and earned a perfect score on the Human Rights Campaign (HRC) Foundation’s Corporate Equality Index (CEI). This index is the nation's foremost benchmarking survey and report measuring corporate policies and practices related to LGBTQ+ workplace equality.

We recognize employees that live our values, give back to our communities each year, and are champions for bringing our whole selves to work each day. If you’re looking for a place where your work can be personally and professionally rewarding, don’t just join a company with a mission. Join a mission with a company behind it.

What You’ll Be Doing:

Data Scientist (GenAI)

We are seeking a highly skilled and motivated Data Scientist with expertise in Large Language Models (LLMs) and a strong background in healthcare data, particularly clinical documentation and prior authorization workflows. You will play a key role in designing, developing, and deploying AI solutions that transform the prior authorization process and how clinicians interact with unstructured medical data.

What You Will Be Doing:

• Design and fine-tune LLMs (e.g., GPT, Claude, BERT) for healthcare-specific NLP and NLU tasks
• Develop methods to extract, summarize, and interpret information from clinical documents such as prior authorization requests, encounter history, progress notes, lab results, etc.
• Build and optimize RAG pipelines, agentic workflows, and prompt engineering strategies for real-time decision support
• Apply Optical Character Recognition (OCR) techniques to digitize and process scanned clinical documents
• Use LLMs to identify automation and clinical intervention opportunities using deterministic and probabilistic methods by analyzing historical operations data
• Summarize lengthy clinical documents into concise, structured patient summaries to support clinician decision-making and workflow efficiency
• Identify relevant information from clinical records to support clinical reviews in alignment with service-specific medical policies
• Build scalable, cloud-based AI systems that integrate seamlessly with existing platform architecture and infrastructure, ensuring reliability, maintainability, and performance
• Ensure applications run at peak efficiency by implementing strategies to minimize token usage, reduce response latency, and optimize resource consumption
• Continuously analyze performance metrics and operational logs to identify improvement opportunities
• Collaborate with product, engineering, and clinical teams to integrate AI models into production systems
• Collaborate with clinical teams to ensure applications are interpretable, actionable, and aligned with practical applications
• Stay current with advancements in LLMs, healthcare AI, and regulatory frameworks
  
  
  

• Bachelor’s Degree in Computer Science, Machine Learning, Data Science, or a related field
• Proficient in Python and SQL
• 5+ years of experience in data science or machine learning, with at least 2 years focused on LLMs
• Hands-on experience with Transformers, Hugging Face, LangChain, fine-tuning and prompt engineering for LLMs
• Proficiency with Azure AI services and infrastructure, including Azure OpenAI, and related tools for deployment and scaling
• Experience with agentic AI systems, including multi-agent orchestration, autonomous task execution, and integration with healthcare workflows
• Experience with OCR technologies (e.g., Tesseract, Azure Document Intelligence, Amazon Textract) and cloud-based NLP tools for processing unstructured healthcare data
• Experience with CI/CD pipelines for automating testing, deployment, and monitoring of LLM-based systems in production environments.
• Strong analytical skills to interpret model performance data and identify optimization opportunities
• Proven ability to optimize application performance, including improving code efficiency, right-sizing infrastructure usage, and reducing system latency
• Experience implementing rollback strategies, including version control, rollback triggers, and safe deployment practices across lower and upper environments
• 2+ years of experience with Github, Github Actions, CI/CD, and source control
• 2+ years working within an Agile environment
  
  
  

• Familiarity with prior authorization workflows, payer-provider interactions, or utilization management
• Strong experience working with clinical text data and healthcare ontologies (e.g., SNOMED, ICD-10, CPT, HCPCS, NDC)
• Experience leveraging LLMs for feature extraction to support downstream machine learning models, including classification, regression, and clustering tasks
• Healthcare experience, particularly using administrative and prior authorization data
• Proven experience developing and deploying LLM-based systems into production environments
• Experience working with Product, Engineering, Infrastructure, and Architecture teams
  
  
  

To ensure a secure hiring process we have implemented several identity verification steps, including submission of a government issued photo ID. We conduct identity verification during interviews, and final interviews may require onsite attendance. All candidates must complete a comprehensive background check, in-person I-9 verification, and may be subject to drug screening prior to employment. The use of artificial intelligence tools during interviews is prohibited and monitored. Misrepresentation will result in immediate disqualification from consideration.

Mandatory Requirements:

Employees must have a high-speed broadband internet connection with a minimum speed of 50 Mbps and the ability to set up a wired connection to their home network to ensure effective remote work. These requirements may be updated as needed by the business.

Evolent Health is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.