Principal Data Scientist - National Remote

About the Role

Key Responsibilities

• Identifies and integrates new datasets from various sources to be leveraged throughout the organization to meet business needs, as well as provides continuous management and maintenance of the data.
• Collaborates with various stakeholders to understand quality business needs and provides data-driven insight for process improvements to drive data completeness, accuracy, and timeliness in Cozeva.
• Predicts emerging customer needs by discovering trends and anomalies in the data and identifying root causes and drivers for improving the overall and delegated member experience, member retention, member performance, and STARs.
• Designs data modeling processes, creates algorithms and predictive models to extract data for business needs, and helps analyze data and shares insights across the organization.
• Develops the strategy for and leads various multi-data source projects that include analyzing, reviewing, forecasting, and trending Stars related and other member feedback data for key business decision leaders across Optum Care Delivery Organizations.
• Translates highly complex concepts in ways that can be understood by a variety of audiences, including telling a story with the data for business leadership and non-analytics audiences.
• Executes team and department projects from a data perspective, including sourcing and cleaning data.
• Develops pioneering approaches to capturing and reporting data trending.
• Partners with quality strategy leads, Quality team partners, and CDOs to develop innovative analytics solutions, including implementing standard and innovative ways to report Stars measure performance by CDO, including verbatims and sentiment analysis.
• Leads large, complex analysis projects to achieve key business objectives, including member survey analytics across multiple data sets and surveys.
• Produces innovative solutions driven by exploratory data analysis from unstructured, diverse datasets that lead to the development and implementation of a framework for Quality data analytics and QA processes of inbound and outbound data from a Quality Business Perspective.
• Serves as Stars data subject matter expert in cross-functional programs and efforts.
• Understands the complexity within functions, relationships, and contractual obligations with the ability to balance competing priorities.
• Performs all other related duties as assigned.

Requirements

• High School Diploma/GED (or higher).
• 8+ years of experience in data analytics management.
• 8+ years experience in a deadline driven environment.
• 8+ years experience influencing and collaborating with others.

Nice to Have

• An undergraduate degree in computer science, information technology, analytics, data science or statistics or related degree.
• Experience providing direction for and building predictive models to prioritize opportunities.
• Experience managing and integrating data connections between multiple data sources.
• Intermediate level Excel skills - pivot tables, formulas including VLOOKUP, spreadsheet creation and updating.
• Intermediate level Word and PowerPoint skills - project scope documents, project presentations.
• Basic level SharePoint and MS Teams skills - posting documents, updating shared documents.
• Ability to quickly aggregate and analyze information and draw statistically valid conclusions.
• Ability to query databases and perform statistical analysis, strong understanding of statistics and statistical theory.
• Demonstrated hands-on experience with large datasets.
• Proficiency in database and data analysis tools like SQL, Tableau, PowerBI, SAS, and Alteryx.
• Strong analytical, problem solving and decision-making skills.
• Strong knowledge of extracting and developing key consumer insights within a population.
• Highly motivated with ability to work in a fast paced, changing environment.
• Strong communication skills (written and verbal); ability to present communication plans to customers.

Qualifications

• High School Diploma/GED (or higher).
• 8+ years of experience in data analytics management.

Benefits & Perks

• A comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase and 401k contribution.
• All benefits are subject to eligibility requirements.