Data Scientist

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Gainwell Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

💰 Grant on 2023-06

Healthcare Insurance • Human Services • Healthcare

Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.

📋 Description

• Lead data ingestion, cleansing, transformation, and aggregation efforts for large scale and complex datasets. • Design and implement advanced feature engineering, statistical estimation, and hypothesis testing techniques. • Develop, validate, and refine machine learning and statistical models, including time series, repeated measures, and mixed effects models. • Ensure analytical rigor by addressing overfitting, false discovery, bias, and model generalizability. • Analyze healthcare and enterprise datasets to surface complex, high impact, actionable insights that support strategic decision making. • Drive iterative model development and support continuous integration and deployment of analytics solutions. • Optimize data science solutions for performance, scalability, and production readiness. • Leverage cloud based platforms to support elastic, high volume data science workloads. • Collaborate with business stakeholders, data engineers, architects, and analysts to align analytics outputs with business objectives. • Provide technical leadership and guidance to junior data scientists and analysts. • Contribute to the definition and evolution of data science standards, best practices, and reusable analytics assets.

🎯 Requirements

• 10+ years of experience in data science, advanced analytics, or related roles. • Expert proficiency in SQL, including complex set based query development for large scale datasets. • Strong understanding of database concepts such as indexing, stored procedures, and materialized views. • Advanced proficiency in Python, including object oriented design and common machine learning libraries. • Strong knowledge of statistical methods, including time series analysis, repeated measures, mixed effects models, and hypothesis testing. • Proven experience applying machine learning techniques, including model evaluation, tuning, and lifecycle management. • Experience with Dev/Sec/Ops practices and CI/CD pipelines for analytics development and deployment. • Strong experience in performance optimization for both development and production analytics environments. • Hands on experience using Databricks for enterprise data science workloads; Scala knowledge is a plus. • Knowledge of semi structured and unstructured data, schema on read techniques, parsers, and NLP libraries. • Demonstrated experience deriving insights from healthcare datasets. • Experience performing data science in a major cloud environment (AWS, Azure, or GCP).

🏖️ Benefits

• Health insurance • Retirement plans • Professional development opportunities • Flexible work arrangements