Senior Data Scientist

Join to apply for the Senior Data Scientist - Economist role at Signify Health Ireland.

CVS Health, the parent company of Signify Health, is increasing investments in digital, data, analytics and technology and Signify Health is excited to be involved

We are hiring for a dynamic new initiative for CVS Health that will run out of our state-of-the-art offices at Bonham Quay. This is your opportunity to be involved with a pioneering business that is transforming health care in the United States by making customer experiences more seamless, convenient and personalised.

As a member of the Pricing Analytics team, you will be at the forefront of delivering high visibility products for key CVS Retail strategic priorities. Specifically, you will have the opportunity to drive traffic, revenue and customer satisfaction in CVS Health's Front Store business using data science to optimize pricing decisions.

In this role, you will have the opportunity to:

• Solve complex problems, translate business requirements into testable hypotheses and measurable metrics, build causal, causal ML, and/or predictive models to understand localized trends, assess the competitive environment, and measure short- and long-term customer impacts to optimize pricing decisions.
• Develop and leverage in-depth knowledge of Retail Merchandising business processes, translate key drivers of business value to analytics opportunities, and simulate impact of business decisions to improve customer experience.
• Guide the technical approach, leverage large datasets, and build scalable and deployment ready models that work well with CVS Retail's diverse product portfolio, develop robust methodologies and metrics to assess model performance.
• Stay up to date on the state-of-the-art modeling methodologies and latest research.
• Utilize the latest developments in the generative models (LLMs and other AI models) to improve and enrich the performance of the pricing models, rethink the deployment readiness and scalability of the models, and automation opportunities using agents.
• Work cross functionally with a range of technical and non-technical stakeholders including business partners, engineers, and other data and analytics teams. Share progress, findings, recommendations, and their business implications.

We are looking for talented individuals who have a strong sense of ownership, accountability and a desire to deliver high quality end to end intuitive and impactful analytic products using advanced data driven approaches.

• Bachelor's degree in a quantitative field such as economics, statistics, or a related field. Master's degree is preferred.
• 3+ years of work experience in retail, consulting, or a related field.
• Demonstrated experience applying statistical models and/or causal inference techniques (such as Hierarchical GLM, Double ML, synthetic control, and other quasi-experimental techniques).
• Strong Python, R, and SQL skills, proficiency in working with large datasets.
• Experience working with a data engineering/MLOps team to productionize data science models, familiarity with version control (GitLab or GitHub), and ML platforms (AWS SageMaker, Databricks, GCP Vertex AI, etc.).
• Excellent communication and presentation skills and attention to detail.

• PhD in economics or equivalent.
• 5+ years of work experience in retail, consulting, or a related field.
• Experience developing elasticity models, in depth understanding of merchandising (price, promotion, assortment) concepts and metrics in retail.
• Experience with managing large scale projects and working with multiple business stakeholders.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• Hospitals and Health Care