Decision Scientist – CMX
Job ID: R0208203
Category: Data and Analytics
Address: 161 Avenue of the Americas
Location: New York, NY
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.
**Hybrid work schedule based in our NYC office. Must be able to commute to NYC 3 days per week every other week.
About CMX:
CVS Media Exchange [CMX] is dedicated to driving measurable outcomes for our suppliers, merchants, stores, GMs, brand advertisers, and agencies. Our full-funnel ad solutions leverage CVS’s in-store and online data, extensive reach, and to provide measurable results for our clientele. With a range of flexible pricing and buying models, including self-service; these solutions help businesses build brand awareness, engage with CVS consumers, and convert CVS consumers to shoppers.
Position Summary
The Decision Scientist at CMX (CVS Media Exchange) is responsible for leveraging advanced data analysis techniques, such as causal analysis, to extract actionable insights from large and imperfect datasets. The role involves problem-solving and uncovering valuable insights to drive data-informed decision-making. Experience in the advertising industry is a plus.
If you are a passionate and skilled Decision Scientist who thrives on uncovering insights from complex datasets, we encourage you to apply for this exciting opportunity. Join our innovative team at CMX (CVS Media Exchange) and contribute to shaping the future of advertising through data-driven decision-making.
- Perform advanced data analysis using statistical methods, machine learning techniques, and data visualization to derive meaningful insights. When the data is limited, you are comfortable with leveraging statistics and probability theory to estimate.
- Conduct causal analysis to understand the impact of various factors on key business metrics.
- You are comfortable playing in an imperfect data world, where you have signal loss, imperfect targeting, lack of ground truth.
- Collaborate with cross-functional teams to define business problems and formulate data-driven hypotheses.
- Develop models and algorithms to optimize advertising strategies and solve complex challenges.
- Present findings and insights to stakeholders in a clear and understandable manner.
- Stay updated with the latest advancements in data science techniques and tools.
Required Qualifications
- Experience in causal analysis and problem-solving.
- Proficiency in statistical and causal inference techniques, machine learning algorithms, and data visualization methods.
- Strong programming skills in Python, and experience with SQL for data querying and manipulation.
- Solid understanding of experimental design and conducting A/B tests.
- Strong communication and presentation skills for effectively conveying insights to technical and non-technical stakeholders.
- Attention to detail and ability to thrive in a fast-paced, collaborative environment.
Preferred Qualifications
- Experience working in the advertising and marketing industry.
- Experience in estimating long-term impact of experiments.
- Experience working in GCP and clean rooms is a plus.
Education
- BS degree or equivalent work experience in Economics, Physics, Mathematics, Statistics, Computer Science, Business Analytics, Engineering, or related discipline.
- Master's degree is preferred
- PhD in Economics is desired
Pay Range
The typical pay range for this role is:
$82,915.00 – $175,100.00
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.
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 jobs.CVSHealth.com/benefits
This job does not have an application deadline, as CVS Health accepts applications on an ongoing basis.
