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Senior Decision Scientist
| Company | CVS Health |
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| Location | New York, NY, USA |
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| Salary | $111240 – $222480 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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Requirements
- 3+ years of experience in business analytics, analytical or strategy consulting, or a related field
- Demonstrated hands-on experience setting up in-market tests / campaigns, developing statistical measurement methodologies, and data visualizations
- Proficiency in A/B and multivariate testing methodologies
- Proficiency in SQL and Python (Pandas) with 3+ years of professional experience
- Strong statistical background with experience in experimental design and ROI analysis
- Proficient in Microsoft Office Suite, including MS Excel and PowerPoint
- Strong communication skills to present data-driven insights and recommendations to both technical and non-technical stakeholders.
Responsibilities
- Design and execute data-driven experiments (e.g., A/B tests, multivariate tests, quasi-experimental), introduce standardized test set-up and measurement methods to meet business objectives
- Analyze & measure experiment results using causal inference methods (e.g. DID, PSM, synthetic control) to uncover insights and provide clear, actionable recommendations to stakeholders.
- Monitor and maintain dashboards that track the performance of experiments and key business metrics.
- Identify business opportunities through data-driven insights and develop high-impact analytical solutions.
- Independently explore data and create a structured analytical work plan to derive meaningful insights.
- Communicate analytical solutions and results through compelling narratives and visualizations, engaging stakeholders to drive informed business decisions.
- Work cross functionally with a range of technical and non-technical stakeholders including business partners, engineers, and other data and analytics teams.
- Contribute to enhancing experimentation culture by educating stakeholders on test design, metrics, and results interpretation.
Preferred Qualifications
- Experience in retail or consumer related field
- Excellent communication and presentation skills, particularly in PowerPoint.
- Strong problem-solving and analytical abilities.
- Ability to deliver in a fast-paced environment and adapt to fluidity in the workplace
- Understanding of advanced multi-armed bandit problem
