Opportunity: Decision Scientist - Loyalty Product Analytics (Hybrid NYC)
Bring your heart to CVS Health, where every team member shares a unified purpose: Bringing our heart to every moment of your health. This commitment guides our mission to deliver advanced, human-centric healthcare for a rapidly evolving world. Our brand is anchored at its core by this purpose, conveying the importance of how we deliver our services as much as what we deliver.
At CVS Health, we want everyone to feel empowered in their role, driving cultural transformation and bolstering our capacity to innovate and deliver personalized, convenient, and affordable healthcare solutions. Join us and be part of an embedded operating model where Analytics and Product unite as one team, ensuring holistic engagement strategies for our consumers.
Position Summary
Are you excited to leverage your expertise in strategy consulting, analytics, or data engineering to drive product ownership of analytics initiatives? Do you have a passion for leading and managing complex projects of strategic importance involving cross-functional teams? Join the CVS Loyalty Product Analytics team and make a significant impact on our analytics strategy. This role offers:
- Access to cross-functional leadership and influence on strategy and execution
- Opportunity to design real-life experiments impacting over 90M customers
- Exposure to multiple cloud-based and on-prem data environments (e.g., Snowflake, Teradata, Google Cloud Platform)
- Insight into the economics of CVS Loyalty programs across various business units
- A collaborative, growth-oriented team culture emphasizing innovation
Responsibilities
As a Decision Scientist in Loyalty Product Analytics, you will:
- Consult with internal clients to identify opportunities for data science solutions
- Apply mathematical analysis methods, statistical analyses, and predictive modeling
- Utilize strategy consulting concepts and data engineering principles
- Collaborate with business partners to understand goals and develop analytical solutions
- Present recommendations to team managers and cross-functional stakeholders
- Lead the development of analytics solutions with low complexity and risk
- Guide data scientists on modeling techniques
Qualifications
Required
- Minimum 3+ years of business experience
- 1+ year of experience with SQL, Python, R, or Hadoop
- 2+ years of strategy consulting or similar experience in mid to large companies
- Proven track record in leading analyses and initiatives with tangible business impact
- Strong communication skills to convey technical concepts to non-technical stakeholders
Preferred
- Experience in the healthcare sector
- Proficiency in advanced analytics tools and languages
- Experience interpreting complex models for various business audiences
Educational requirements include a Bachelor's degree in a quantitative field or equivalent experience. A Graduate degree (e.g., MBA) is preferred.
Compensation and Benefits
The typical pay range for this role is $82,915.00 - $175,100.00 annually. Actual salary will depend on various factors, including experience, education, and geography. This role is eligible for bonuses and other incentive programs. Benefits include:
- Medical, dental, and vision benefits
- 401(k) retirement savings plan
- Employee Stock Purchase Plan
- Term life insurance and disability benefits
- Well-being programs, education assistance, and development courses
- CVS store discount and partner discount programs
- Paid Time Off (PTO) and paid holidays
For detailed information on available benefits, please visit .
We anticipate the application window for this opening to close on: 06/19/2024.