At Trella Health, we are passionate and committed to our mission: empowering meaningful change in healthcare. Since our founding in 2015, we continue to grow our team, enhance our solution and services offerings, accelerate into new markets, and expand our customer base. We are rapidly growing and are looking for new Trellavators to join our team! “What is a Trellavator?” you ask. Innovate and elevate is the name of our game! We go above and beyond to collaborate with and support each other. We believe that when a colleague or customers succeeds, we succeed. By learning from others, building on our successes, and taking risks, we constantly raise the bar. After all, continuous improvement is in our DNA. Our word is paramount, we keep our commitments, and we always follow through. We have a strong, reliable support system that fuels growth, collaboration, and passion—and together, we create a positive environment where everyone at Trella Health, including the customers we support, can thrive. Are you ready to learn more about the opportunities with our team? Trell-yeah you are! Position Overview: We are looking for a Senior Data Scientist to join our Data Science & Engineering team. In this role, you will be responsible for turning medical and pharmacy claims data into measures and actionable insights within our software as a Service (SaaS) solution. You will utilize your strong quantitative analysis, SQL, and Python skills to create and analyze scripts to compute metrics and impact downstream data sets. You will work cross-functionally with the data engineering, product, and data quality teams to ensure our data pipelines are accurate, efficient, and high quality. We're looking for someone who is intellectually curious and passionate about continuous learning, especially when solving problems within healthcare data. Location: This role is remote with a strong preference for candidates within commuting distance of Atlanta, GA; Philadelphia, PA; or Nashville, TN. We will also consider applicants based in other U.S. locations. Reports to: Director of Data Science As a Senior Data Scientist at Trella, you will: - Work with vast national datasets of medical and pharmacy claims data to interpret, analyze, and build datasets that deliver actionable insights to Trella’s proprietary solutions. - Design, build, and maintain scalable Databricks workflows and jobs for processing healthcare claims data. - Develop and optimize PySpark and SQL pipelines for performance, reliability, and efficiency. - Implement data quality monitoring and validation frameworks to ensure completeness, accuracy, and consistency of claims data. - Support modernization by refactoring legacy SAS scripts into Databricks. - Act as a subject matter expert on healthcare data sources, calculations, and methodologies. - Collaborate with the product team to size and scope new analytic projects, defining specifications and requirements. - Continuously enhance your knowledge of the healthcare industry through independent research and professional development. This job might be a fit for you if you have: - 5+ years of experience in data science, preferably within healthcare space. - Advanced SQL and Python skills (e.g. writing complex data processing scripts and automating workflows). - Experience working with Databricks, including Spark SQL and PySpark for analytics, data modeling, and machine learning workflows. - A deep understanding of data lineage to track and visualize data dependencies, identifying upstream/downstream impacts. - Experience with statistical modeling including regression, imputation techniques, and risk scoring. - Strong knowledge of medical claims data (e.g., Medicare, Medicaid, Commercial) as well as medical coding systems (ICD10, CPT, HCPCS, MS DRG, NPPES NPI). - Excellent problem-solving, time management, and communication skills. - Familiarity with software development tools like Jira, Confluence, and Bitbucket. - A passion for using data to improve healthcare and a love for solving complex problems. - Bachelor's or Master’s degree in a technical field or equivalent experience. About Trella Health: Trella Health provides unmatched, actionable market intelligence to post-acute care and value-based care providers of all sizes. Our industry leading analytics paired with CRM and EHR integration workflows positions us as the most advanced sales enablement platform for the post-acute care market. One of only a few companies to be deemed both a Qualified Entity by CMS and an Innovator under its Virtual Research Data Center Program, Trella has elite access to billions of performance metrics and referral data to enable competitive positioning across the market. Its standardized insights, representing 90% of all lives 65+ U.S. population, help customers identify, engage, and manage critical relationships and advance their organizations with certainty. Since launching our first product in 2016, we have experienced tremendous growth and have highlighted a few key data points to get an at-a-glance view of Trella: - Over 1,000 customers including 10 of the top 10 post-acute providers and 4 of the top 10 health systems - Over 150 team members and growing - Recognized as one of Modern Healthcare’s “Best Places to Work” in consecutive years and were ranked in the Top 50 startups in the US by LinkedIn - Headquartered in Atlanta, GA with remote hubs in Nashville, Philadelphia, the Philippines, and Latin America. The Trellavator Experience: At Trella Health, you can expect to join a welcoming team that truly embodies our core values. Our collaborative culture is anchored by trust, transparency, and inclusion—and we also have a lot of fun. No matter where you work, at Trella Health you can expect an awesome team, frequent virtual gatherings, engaging events, casual attire, and more. We offer competitive salaries with a comprehensive benefits package to all employees and provide an environment that fosters work-life harmonization with Flexible Paid Time Off, along with remote-first work arrangements. As we continue to see exponential growth, our goal is to continue to put team members first and strive to offer our team members the best culture and benefits possible. Some of the benefits we provide are: - Health, Dental, Vision & Voluntary Benefits - Competitive Salary & Bonus Plans - 401k Retirement Savings - Flexible PTO & 10 Paid Holidays - Flexible Work Hours - Equity Shares - Paid Leave Programs - Marketplace for discounted retail and entertainment Equal Opportunity Employer Trella Health is an equal opportunity employer. All persons will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, handicap, veteran status, genetic information, or any other protected status as recognized by federal, state, or local laws.

• Serve as lead when working collaboratively with product leads, managers, and owners to draw insight and intelligence from large administrative claims datasets, electronic medical records, and various healthcare registry datasets; • Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; • Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; • Identify, develop, and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; • Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; • Serve as lead when working closely with Inovalon’s Enterprise Data Platform teams to identify, understand, and resolve data issues and improve the efficiency, productivity, and scalability of the company’s data processes; • Troubleshoot complex production-related issues and coordinate successful resolution; • Assist with the evaluation of data analytic vendors and tools; • Maintain compliance with Inovalon’s policies, procedures and mission statement; • Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; • Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; • Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and • We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such.

Role Description This is an exciting opportunity for a blended role for Manager, Data Science within our Data Product space. The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data professionals. This is a highly technical, hands-on role that requires a combination of strong experience developing scalable solutions and zero to one product launch moving them from concept through production. This role requires hands-on technical contribution and is not solely an oversight function. The ideal candidate has demonstrated experience building data products and operationalizing machine learning within a cloud environment such as Azure, AWS, or similar platforms. This role requires comfort working with modern data architectures, integrating data pipelines, and managing the full lifecycle of models and AI applications. This individual has expertise in machine learning, statistical modeling, and data visualization to translate business needs into actionable insights. You will guide a team in applying best practices for model assessment, feature engineering, and scalable deployment while collaborating across business functions to ensure alignment with organizational goals. The position works closely with key business stakeholders and development teams and operates within the full software development lifecycle to deliver secure, reliable, and maintainable solutions. This individual is expected to contribute directly to technical design, development, and deployment efforts while ensuring best practices across architecture, performance, and model lifecycle management. This position is open to remote or hybrid. Qualifications - Strong technical expertise in machine learning and AI solution development - Experience building and deploying data products in production environments - Hands-on experience with cloud platforms such as Azure, AWS, or similar ecosystems - Familiarity with ML lifecycle management, data pipeline orchestration, and production support - Solid understanding of software engineering principles and development workflows - Ability to write, review, and optimize Python and SQL code - Deep understanding of Large Language Model (LLM) orchestration, specifically how to build "Agents" that can reason, use tools, and execute workflows autonomously - Knowledge of Retrieval-Augmented Generation (RAG) patterns, including how to manage embeddings, vector indexing, and the "chunking" of unstructured data for AI consumption - Excellent written and verbal communication skills; ability to translate complex models to business users and demonstrate value - Excellent presentation skills Requirements - Bachelor’s or Master’s degree in a relevant field (e.g., Data Science, Information Systems, Computer Science, Business, or related discipline). Master’s degree preferred - 7+ years of hands-on experience in data science, ideally in a data product capacity in banking/finance, insurance or a related field - 5+ years of demonstrated experience leading teams and driving enterprise-level change initiatives Benefits - Comprehensive benefits package for full-time regular employees including: - Medical (HDHP) w/Pharmacy - Dental - Vision - Long Term Disability - Health Savings Account - Flexible Spending Account Options - Life Insurance - Accident Insurance - Critical Illness Insurance - Pre-paid Legal Insurance - Parking and Transit FSA accounts - 401K - ROTH 401K - Paid time off Company Description CorVel, a certified Great Place to Work® Company, is a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries. CorVel was founded in 1987 and has been publicly traded on the NASDAQ stock exchange since 1991. Our continual investment in human capital and technology enable us to deliver the most innovative and integrated solutions to our clients. We are a stable and growing company with a strong, supportive culture and plenty of career advancement opportunities. Over 4,000 people working across the United States embrace our core values of Accountability, Commitment, Excellence, Integrity and Teamwork (ACE-IT!).

• Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets • Support the working group by identifying types of information needed for analysis or to inform business questions • Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models • Use critical thinking to use the right approach for each problem statement • Anticipate business needs and make continuous improvements to models and processes