Data Scientist

🕒 July 16

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Gainwell Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

⚕️ Healthcare Insurance

💰 Grant on 2023-06

Consulting • Logistics • Healthcare Insurance

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

• Support Gainwell's Medicaid and public sector analytics initiatives by leading advanced data science activities across complex healthcare and enterprise datasets. • Apply statistical modeling, machine learning, and scalable analytics techniques to generate actionable insights. • Function independently within a business area while collaborating across multiple teams. • Influence analytical approaches, mentor junior staff, and contribute to improving data science practices. • Lead data ingestion, cleansing, transformation, and aggregation efforts for large scale datasets. • Design and implement advanced feature engineering, statistical estimation, and hypothesis testing techniques. • Develop, validate, and refine machine learning and statistical models. • Analyze healthcare and enterprise datasets to surface complex, high impact, actionable insights. • Drive iterative model development and support continuous integration and deployment of analytics solutions. • Optimize data science solutions for performance, scalability, and production readiness. • 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.

🎯 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. • Deep, hands-on experience with SQL windowing functions. • 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

• Remote working • Work life balance • Shift timing: 1pm to 10pm