Strategic Data Scientist at McKesson leveraging analytics and insights to enhance client relationships and improve healthcare products. Collaborating with teams to drive business value through data analysis and presentations.
Responsibilities
Serve as the lead analytics point of contact for specific Biopharma customers
Frequently develops data and storytelling to help anticipate and meet the strategic needs of a customer and Customer Success Team (CST)
Develop trusted advisor relationships with key accounts, customer stakeholders and executive sponsors
Use standard formulas and methods, perform basic and advanced statistical evaluations and analysis of product data in all stages including collection, analysis, and reporting
Lead new data-driven insight presentations with customers
Monitor portfolio programs to support continuous quality improvement efforts using performance metric development and monitoring
Become a subject matter expert (SME) on CoverMyMeds products and programs and the pharmaceutical industry
Work on high-profile customer accounts in collaboration with account management teams
Requirements
Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Public Health Information, Bioinformatics, or a related quantitative field
3-5 years of experience in a BI role in healthcare/Pharma industry
Understanding of data science methodologies including decision trees, multivariate analysis, segmentation modeling, factor analysis, regression analysis, forecasting, machine learning, etc.
Experience with statistical software experience (PYTHON, R, MATLAB, SAS, etc.) is a plus
Intermediate to Advanced proficiency in SQL
Intermediate to Advanced proficiency in data visualization tools e.g., Excel, Tableau, Power BI etc.
Excellent communication and presentation skills including to senior leadership and C-Suite external stakeholders; able to “think on your feet” and respond to questions where the answer is not known or not straightforward.
Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
Data Scientist at Capital One leveraging technology to improve fraud prevention and customer safety. Collaborating with cross - functional teams to deliver industry - leading fraud defenses.
Data Scientist delivering insights for product and operations teams in Customer Support at Etsy. Using behavioral analysis to drive product development and strategy within a collaborative environment.
Data Scientist developing predictive models and enhancing investment strategies with AI at MDOTM. Collaborating in a dynamic research team to drive data - driven insights and innovative solutions.
Lead Data Scientist at Vizient developing automated analytics and advanced data science solutions. Collaborating with teams to improve clinical, operational, and economic outcomes.
Data Scientist developing analytic solutions and analyzing healthcare datasets for client decision - making. Collaborating with teams to build scalable analytics products and communicate insights.
Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.
Solution Analyst / Data Scientist at Analytic Partners utilizing advanced data analysis and AI solutions for marketing performance in a hybrid work environment.
Lead Data Scientist building core AI systems for OpenExpert.AI, an AI operations platform in the energy sector. Collaborating across teams to design, deploy, and scale AI systems in high - stakes environments.
Senior Marketing Data Scientist leading advanced analytics initiatives for biBerk, enhancing marketing ROI and optimizing campaign performance. Collaborate with the Marketing team to drive effective investment decisions.