Posted:
8/28/2024, 1:42:51 AM
Location(s):
Las Vegas, Nevada, United States ⋅ Nevada, United States
Experience Level(s):
Senior
Field(s):
Data & Analytics
Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.
Position Summary
CVS Media Exchange (CMX) is one of the fastest growing lines of businesses at CVS. Our comprehensive advertising solution leverages CVS's in-store and online data and extensive reach to provide measurable outcomes for our clients. The Ads Innovation Pod on CMX designs and builds the core algorithmic components of the Ads Hubs system including measurement, pacing, in-flight optimization, etc.
As a Lead Data Scientist on the team, you will work on the architecting, designing and implementing the end-to-end system, and implementing new algorithms to make our systems more efficient and performant.
We are seeking experienced candidates who have a proven track record in building Ads Delivery systems to join our team and contribute to our accelerated growth. The ideal candidate will demonstrate a deep passion for comprehending intricate systems, possess a natural curiosity to explore the reasons behind system behaviors, exhibit the drive to conduct research and propose innovative system designs, and approach problem-solving with a pragmatic mindset.
What You Will Do
Hybrid schedule 3 days weekly in the NYC/Soho office.
Required Qualifications
Preferred Qualifications
Education
Ph.D., M.S., or bachelor’s degree in computer science, Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
Pay Range
The typical pay range for this role is:
$142,140.00 - $284,280.00
This 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. This position also includes an award target in the company’s equity award program.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit Benefits | CVS Health
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Website: https://cvshealth.com/
Headquarter Location: Woonsocket, Rhode Island, United States
Employee Count: 10001+
Year Founded: 1963
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Health Care ⋅ Medical ⋅ Pharmaceutical ⋅ Retail ⋅ Sales