Sr Data Scientist - Remote in EST, CST or MST

About the Role

Key Responsibilities

• Apply advanced statistical and predictive modeling techniques to design, develop and deploy machine learning models into production, employing state-of-the-art libraries, and adhering to the organization's established processes for transitioning from development to production environments
• Lead discovery processes with Data Scientists and partner with Marketing to identify the business requirements and the expected outcome
• Create and provide sound statistical analyses and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions
• Collaborate with data engineers to gather information for analytics and predictive model building, ensuring data meets qualification and assurance requirements
• Design sampling methodology, prepare data including cleaning, univariate analysis, missing value imputation, etc., identify appropriate analytic and statistical methodology, develop predictive models, and document processes and results
• Communicate analytics results and work with team members to produce models for marketing partners and clients
• Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms

Requirements

• 5+ years of experience in statistical modelling, machine learning, and data analysis
• 5+ years of experience manipulating large datasets
• 3+ years of leading projects/project management experience
• 3+ years of experience leading complex data science projects with a cross-functional team, and developing and deploying machine learning models in production environments
• Demonstrated experience in communicating complex technical results to non-technical audiences and stakeholders
• Has previously worked or is currently working as an employee/contractor placed at UHG or one of its subsidiaries or affiliates

Nice to Have

• 3+ years of experience in programming languages e.g. Python/R and SQL
• Experience with distributed computing technologies such as Spark
• Experience with Git / Github for version control
• Experience with healthcare claims data
• Experience with Azure, Databricks, Snowflake, and/or similar tools
• Proven problem-solving skills and ability to navigate ambiguity and uncertainty
• Demonstrated leadership and strategic thinking skills
• Natural curiosity to learn more, dig into details, and understand key drivers of emerging trends and challenges

Qualifications

• Educational background is not explicitly specified, but extensive experience in data science and related fields is required

Benefits & Perks

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution
• Salary range from $89,900 to $160,600 annually
• Remote work flexibility within the U.S.