RWD Data Scientist at Elevance Health supporting strategic decision making and conducting commercial analytics. Involves developing predictive models and reporting solutions with a focus on healthcare datasets.
Responsibilities
Support strategic decision making across the company
Conduct feasibility analysis for external customers
Perform commercial analytics by developing predictive models and advanced analytics solutions
Prepare analytical data sets in support of modeling studies
Develop and deliver customized reports for a diverse portfolio of clients, ensuring clarity and relevance
Design and implement scalable analytics pipeline, advanced statistical models to solve business problems
Conduct exploratory data analysis to support new product development
Proactively collaborate with business partners to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables
Requirements
Requires MS, MA, or PhD with concentration in a quantitative discipline such as statistics, computer science, cognitive science, economics, or operations research
Minimum of 3 years direct experience programming large, multi-source datasets with SAS
Minimum of 3 years in health care setting
Proficiency with SQL, SQL Server, R or Python strongly preferred
Intermediate to Advanced expertise with software such as SAS Stat, SAS ETS, SAS Enterprise Miner or equivalents strongly preferred
Strong understanding of statistical modelling, predictive analytics, ML libraries
Experience with visualization and business intelligence tools (i.e. Tableau, Power BI) strongly preferred
Familiarity with healthcare datasets (i.e. closed claims, EHR/EMR), market access analytics, and commercial strategies in the pharmaceutical domain
Experience in developing and conducting training sessions for internal and external stakeholders
Familiarity with AWS and Cloud environments
Proven ability to design modeling studies and experience with data models, addressing data quality issues in study design, constructing robust and efficient analytical data sets strongly preferred.
Significant experience in healthcare related field strongly preferred.
Data Science Intern leveraging skills in statistics and programming for data - driven projects at Revolve. Collaborating with marketing and operations for insightful analytics and strategy recommendations.
Senior AI & Data Scientist leading advanced analytical model development for tech company. Ensuring robust data architecture and deploying AI solutions from analysis to production.
Senior Data Scientist responsible for enhancing mapping and routing solutions at Vay. Utilizing data science and machine learning to improve navigation in urban mobility systems.
Data Scientist transforming complex data into valuable insights for adp MERKUR GmbH. Develops machine - learning models and collaborates with stakeholders for data - driven decisions.
Senior Real World Data Scientist providing statistical and epidemiological expertise in nutrition and health research. Analyzing large scale observational data and guiding project teams in statistical methodologies.
Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
Clinical Data Manager supporting the biospecimen and clinical data management for WVU Cancer Institute. Engaging in data collection, management, and reporting for research and quality assurance.
Data Manager coordinating AI development processes to govern and manage data for medical devices at GE HealthCare. Collaborating with AI/ML engineers and tracking compliance and readiness throughout the lifecycle.
SMAI Manager leading a talented team to develop advanced factory scheduling and automation solutions at Micron. Collaborating globally to enhance manufacturing capabilities and deliver best practices.