Data Scientist

Data Scientist (with Project Management Experience)CVS Pharmacy100% remote, long term contract.Any VisaVideo Interview

Their PM experience may be as a team lead, or in prior work experience.Healthcare experience is a must, ideally Pharmacy data experienceExtensive experience with A/B testing to explore business solutionsCandidates with experience supporting Chat Bot data, or Chat gpt Data will be prioritizedThey need to have strong Project Management experience, scoping and managing a project with clients (ideally in healthcare)Data Science excellence:

PysparkDatabricksSQLSpark

Skills

Data bricksCommunicationHealthcare good to haeHands on capabilitiesDoes not need to be hard core data analystHolds the experimentation processIdeation, sizing, executing, validation, monitoringWhat are business requirementsData oriented and process drive

This role

He does not need as strong as a PMThey already have established processesStill needs to talk to stakeholdersTranslate tech to non tech personBe hands onSizingHow to pull dataHuilong is working with the biggest programsAutomate testingChat gpt (AI) is a vision for the program

Team of 4

Each person owns a program for experimentation processRetail sending messages

Verbiage and cadence testing

Working with program owners, data science team, legal, stakeholders,

Their notes they sent earlierThe two people we're looking for:

Someone with a technical product management/product owner background, a former analyst, DE, or DS if possible. This role will need to have to interface across a highly technical DE team with stakeholders from across the business. They'll help as we build a vision around an internal system that will have significant impact on how, when, and where we communicate with our patients.An analyst with strong project/program management chops. We're losing someone who had a strong handle on the end-to-end experiment process, from understanding business requirements and driving collaboration with the teams we work with (Legal, Privacy, Product, ...), to understanding the details of experiment sizing and working with our analytics partners to ensure that results make sense.

#J-18808-Ljbffr