Data Scientist

The Strategic Data Scientist at CoverMyMeds makes a meaningful contribution to the success of our company. This role is broadly responsible for value proposition refinement and supports key customers by providing world-class analytics and insight into our vast store of live data, turning insights and model predictions into program and product recommendations.

• 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.
• Work closely with Commercial Customer Success Team (CST) members and external clients, demonstrating the value of CMM products through data narratives.
• Perform in-depth analyses to identify opportunities which can lead to recommendations to improve overall profitability, value or strategic use of our products and make recommendations to improve overall profitability and value.
• Lead new data-driven insight presentations with customers.
• Use creative means to proactively identify areas of improvement to enhance product value for clients.
• Use standard formulas and methods, perform basic and advanced statistical evaluations and analysis of product data in all stages including collection, analysis, and reporting.
• Monitor portfolio programs to support continuous quality improvement efforts using performance metric development and monitoring, and effectively communicate to this to stakeholders via strategic business reviews, scheduled meetings or where require appropriate escalation.

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Public Health Information, Bioinformatics, or a related quantitative field, or equivalent practical experience
• 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
• Curious problem solver by nature; able to quickly make sense of complex data issues.
• Driven, self-motivated, team player adept at working in environment with competing priorities.
• Experience with data mining, analysis, and providing insights.
• Adept at creating queries, writing reports, and presenting findings.
• Intermediate to Advanced proficiency in SQL.
• Intermediate to Advanced proficiency in data visualization tools e.g., Excel, Tableau, Power BI etc.
• Able to communicate and manage expectations.
• 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. (able to provide complex analysis in layman’s terms – at varying levels of audience, from peer set to C-suite).
• Pharmacy or Financial transaction adjudication experience
• Industry Expertise – Specifically in Insurance, Pharmaceutical, or Healthcare.
• Curiosity – A naturally curious mindset with a drive to dig deeper into data and uncover the “why.”
• Collaboration – Key success factors in this role include leading without direct authority, building relationships across multiple functions, and listening to input and perspectives from across the organization, customers, and industry stakeholders.
• Passion – The candidate should have a passion for improving US healthcare and a desire to join a team that focuses every day on enabling healthier lives through the work that we do.

• 401k matching
• Health insurance
• Flight privileges

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable.