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Daniel Reif
AVP, Data Science (Consumer Analytics) at CVS Health
Daniel Reif is the Assistant Vice President (AVP) of Data Science focusing on Consumer Analytics at CVS Health. Based in Brooklyn, New York, he has been in this role for over two years, contributing to the company's data-driven strategies in the healthcare sector.
Prior to his current position, Reif held various roles in data science, including a significant position as a Principal Data Scientist, where he specialized in experimentation and machine learning applications. His expertise encompasses leading teams and developing analytics solutions that enhance consumer engagement and operational efficiency at CVS Health.345
Reif is actively involved in hiring for data science roles, indicating a commitment to expanding his team's capabilities and fostering talent in the field.12 His professional journey reflects a strong focus on leveraging data for strategic decision-making within the healthcare industry.
Highlights
I'm leading a new team tasked with making our experimentation and personalization capabilities faster, easier to deploy, and more autonomous. This involves looking at our tech stack and processes around behavior change campaigns, and figuring out how we can improve them via ML and working with our engineering and marketing teams. Examples of projects include: building methods of autonomously identifying members for campaigns, developing a measurement service that can measure campaign impact and embedding that measurement back into campaign journeys for targeting, auto-labeling content so that it can be optimized via contextual multi arm bandits, and much more! And the great thing is - we operate at massive scale (>100M member interactions annually) for things that genuinely help members improve their health. The impact of the campaigns, and by extension our work, helps people stay healthy and save money. I'm hiring for a Principal Data Scientist - someone who has experience using ML for similar purposes in the experimentation and/or personalization space and experience working in a matrixed/hybrid environment with engineering teams.
Job posting below, message me if interested and please share!
A number of years ago we started Aetna's Next Best Action program. It combines data science, data engineering, clinical support, and test & learn marketing to educate members about key healthcare decisions, to improve health outcomes and lower healthcare cost. Over time the program has grown to include hundreds of individuals from many different teams and to cover an extremely wide range of healthcare topics, and to drive a ton of impact. I'm excited to be presenting on one tiny sliver of our program, the radiology NBA, next week at the AMIA 2023 Informatics Summit. Congrats and thank you to all of the abstract authors and to the many additional team members who have helped to create this intervention!
Amanda Zaleski, PhD, MSc, CEP Vincent Fleury Jason Zeng Nishaat F. Elise Kokonas Shobeir Seddington Shruti Choudhary Ryan Berns Dorothea Verbrugge Cathy (Mary) Moffitt, MD, FAAP CHIE Kelly Jean Craig
