Data Scientist

About the role

Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts - driving real, measurable results for clients. At Zelis, AI is woven into the fabric of how we work. Every associate is expected - and empowered - to partner with AI to challenge the status quo, accelerate innovation, and amplify their impact. This is a place for builders with a growth mindset who act with agility, embrace change, and use modern technology to shape smarter solutions, exceptional experiences, and the future of our industry for our clients, customers, and our culture. Why We Do What We Do In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system. Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis' award-winning culture. Position Overview Zelis is seeking an experienced Senior Data Scientist with strong data modeling and machine learning expertise to drive advanced analytics across healthcare and payments platforms. This role focuses on designing scalable data models, building predictive solutions, and translating complex data into actionable business insights.

Responsibilities

• Design, develop, and maintain data models (conceptual, logical, and physical) to support analytics, machine learning, and reporting needs.
• Lead development of statistical, predictive, and machine learning models across healthcare and payment datasets.
• Perform feature engineering , data transformation, and model optimization on large-scale structured and semi-structured data.
• Collaborate with data engineering, product, and business teams to align data models with product and analytics requirements.
• Analyze high-volume transactional and operational data to derive actionable insights .
• Validate model accuracy, scalability, and performance; implement continuous improvement strategies.
• Ensure data quality, consistency, and governance across analytical datasets.
• Communicate insights through storytelling, dashboards, and executive presentations .
• Mentor junior data scientists and promote best practices in data science and modeling.
• Required Skills & Qualifications
• 7+ years of experience in Data Science, Analytics, or Applied ML roles.
• Strong hands-on experience in data modeling (dimensional modeling, star/snowflake schemas, analytical data models).
• Proficiency in Python or R and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Advanced knowledge of statistics, probability, predictive modeling, and hypothesis testing .
• Strong SQL skills and experience working with complex, high-volume datasets.
• Experience deploying models into production environments .
• Solid understanding of ETL/ELT pipelines and data transformation processes.
• Excellent analytical, problem-solving, and communication skills.
• Good to Have
• Experience in healthcare, payments, fintech, or insurance domains.
• Exposure to cloud platforms (Azure, AWS, or GCP).
• Experience with big data technologies (Spark, Databricks).
• Familiarity with MLOps , model monitoring, and lifecycle management.
• Knowledge of data privacy and compliance standards (HIPAA, SOC).
• Experience with data visualization tools (Power BI, Tableau).
• Commitment to Diversity, Equity, Inclusion, and Belonging
• At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know t

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