Data Scientist

September 16, 2024

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Zelis

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Zelis is a technology company focused on transforming the financial experience within the healthcare industry. Zelis provides solutions that optimize claims management, enhance payment processes, and improve engagement for healthcare providers, members, and payers. Their services include building high-performing networks, meeting compliance requirements, ensuring accurate claims pricing, and delivering seamless payments and communications. With deep industry expertise, Zelis aims to reduce healthcare costs and administrative burdens while providing clarity and value across the financial healthcare journey.

healthcare payments • payment integrity • payment accuracy • healthcare bill review • electronic payments

1001 - 5000 employees

⚕️ Healthcare Insurance

💳 Fintech

☁️ SaaS

💰 $20.1M Venture Round on 2020-01

📋 Description

• Analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models. • Understand business use case requirements and develop appropriate machine learning algorithms to provide solutions to the business problems. • Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights. • Build, test, validate models through various relevant methodologies, error metrics and calibration techniques. • Develop and maintain data visualizations to communicate insights and recommendations to stakeholders. • Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc. • Perform multiple tasks and deal with changing deadline requirements. • Maintain a focused, flexible, organized, proactive and positive behavior and approach. • Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems. • Communicate data science models’ complex results and the insights to the non-technical audiences. • Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes. • Developed and implemented Gen AI use cases.

🎯 Requirements

• Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related field preferred. • 3+ years of experience in data science, machine learning, or a related field. • Proficiency in programming languages such as Python, R, or Java. • Experience with statistical analysis and modeling. • Experience with data visualization tools such as Tableau or Power BI. • Experience with database technologies such as SQL, NoSQL, or MongoDB. • Strong problem-solving skills and the ability to analyze complex data sets. • Excellent communication skills and the ability to present technical concepts to non-technical stakeholders. • Gen AI experience is a must.