Transforming Healthcare with Data-Driven Insights
CVS Health is increasing its investments in digital, data, analytics, and technology, and Signify Health is excited to be involved.
This is an opportunity to work with a pioneering business that is transforming healthcare in the United States by making customer experiences more seamless, convenient, and personalized.
About CVS Health
We are focused on driving business agility and growth through technology, data, digital, and experiential innovations.
'Digital First, Technology Forward, and Data Driven' is not simply an aspirational goal for the company, but a prerequisite to accelerated growth.
Our Purpose
At CVS Health, every one of us shares a single, clear purpose: Bringing our heart to every moment of your health.
This purpose guides our commitment to deliver enhanced human-centric healthcare for a rapidly changing world.
Our Team
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 healthcare more personal, convenient, and affordable.
Careers with us offer flexible work arrangements, and individuals who live and work in the Republic of Ireland will have the opportunity to divide their time between our Galway office and their home office.
About the Role
The Retail Analytics team is helping lead the effort to drive improved consumer experience by partnering with key business areas across CVS Health to deliver impactful analytic solutions and insights.
As a member of the Analytics & Behavior Change (A&BC) Merchandising Analytics team, you will be at the forefront of delivering high visibility projects for key strategic priorities.
Your Responsibilities
* Drive revenue and customer satisfaction in CVS Health's Front Store business by using data science to support a product assortment that better fits the needs of our customers.
* Solve complex problems, build predictive models, and optimize assortment decisions, working cross-functionally with a range of technical and non-technical stakeholders.
* Develop innovative advanced analytics solutions using cloud capabilities.
Requirements
* Bachelor's degree in a quantitative field such as Engineering, Mathematics, Computer Science, Statistics, or a related field.
* 1+ years of work experience in an applied data science and analytics or ML role.
* 1+ years of experience in SQL and Python.
* 6 months+ of experience using Git Hub or Git Lab for code collaboration.
Preferred Qualifications
* Master's degree in a quantitative field.
* Retail domain knowledge and basic understanding of assortment concepts.
* Experience working with large datasets, analyzing data, and extracting meaningful insights.
* Experience with optimization tools.
* A strong drive to explore data and make a business impact by applying data science and the curiosity to dive deep.
* Ability to communicate technical concepts to non-technical audiences, including experience creating communication materials (e.g., white paper, slide decks, etc.).
To Apply
Please forward your CV via the APPLY Now button below.