#R0521314_1003
dictive models and machine learning/deep learning algorithms to identify care opportunities, prioritization of clinical recommendations, evaluation of program performance, and optimization of information delivery.
Required Qualifications
2+ years Analytic experience
2+ years SQL Programming experience
1+ year experience at a Data Scientist
1+ year experience with Python
1+ year experience with Cloud ( GCP , AWS or Azure )
1+ year experience communicating technical concepts to business
Preferred Qualifications
Experience with BigQuery ( BQ )
Experience with ML Modeling, machine learning algorithms, statistical analysis, data engineering and data visualization
Understanding of health care industry and clinical research concepts.
Good written and verbal communication skills
Ability to work with large data sets from multiple data sources
Education
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:$72,100.00 - $173,040.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
For more information, visit https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 04/05/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.