Lead Data Scientist - Retail Supply Chain

• Lead initiatives to enable supply chain modernization and acceleration of value delivery through AI/ ML techniques

• Leverage technology depth to engage with key leaders across the enterprise to identify new applications of artificial intelligence in supply chain. Provide thought leadership on data and technology & solution architecture that will enhance business impact

• Gather business requirements from various stakeholders, lead analysis of vast amounts of data and in turn synthesize strategies and tactics to solve complex problems

• Conduct or coordinate appropriate testing of analytic solutions including, machine learning and artificial intelligence, to ensure results are consistent with business requirements

• Develop and present meaningful and insights-driven materials on analytical results with recommendations and go forward planning to guide a variety of audiences including internal stakeholders and senior leadership. Autonomously leads the client relationship with senior business leaders as their single point of contact

• Lead the coordination, planning and execution of the AI/ML programs for the team. This includes but is not limited to cross-functional collaboration on agenda/content development, tracking and partnering w/ business owners to execute against action items, reporting, and development or coordination of the enabling processes/tools.

• Responsible for management of the supply chain analytics AI/ML initiative portfolio, with the all-encompassing goal of ensuring we have the right portfolio of initiatives in place to enable supply chain modernization and working capital optimization programs, clarity on how each initiative will achieve improvement, and program rigor behind the execution of these initiatives.

• Mentor and guide junior team members, providing technical expertise and support.

• Collaborate to build a culture which celebrates innovation and is critical to driving change across our organization. The role will be responsible to identify key success stories from the AI/ML portfolio, collaborating with functional leaders on strategies to share these wins across the organization, and executing on these opportunities.Required Qualifications

• 5+ years working experience in supply chain analytics with a demonstrated track record of delivering insights and business impact

• Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas

• Track record of successfully working independently in a fast paced, dynamic environment, while being able to manage a large number of discrete priorities

• Ability to think strategically; including defining objectives, analyzing the key elements, managing budgetary implications, evaluating the risk, and developing framework to achieve success

• 5+ years' experience with the Software Development Lifecycle (SDLC) and agile development, including giving business requirements focused on data and analytics

• Strong leadership skills, strategic mindset and 4+ years of experience leading highly technical teams focused on deploying data and analytics solutions in healthcare

• Strong organizational skills. Ability to work on multiple tasks in parallel and consistently prioritize key objectives.

• Ability to engage with senior business stakeholders, executive level communication and influencing skills. Demonstrated experience developing analysis, presentations and support material to successfully implement strategy or change initiatives. Demonstrates a strong ability to communicate technical concepts and implications to business partners

• Deep experience with data modeling/analytics with SQL, Python, Tableau and/or other advanced analytical tools

• 4+ years' experience strategy consulting or on strategy teams in large companies. Proven relationship management skills at senior levels within an organization and external constituents

• Experience with cloud distributed-computing platforms (e.g., GCP, Snowflake, etc.), including querying/mining large datasets and deploying projects on cloud systems.

• Minimum 7 years total business experiencePreferred Qualifications

• Retail Industry/Omni channel experience would be desired

• Ability to communicate technical concepts and implications effectively to non-technical business partners

• High energy and a sense of urgency to deliver results, attention to detail and ability to manage multiple projects simultaneously & meet deadlines.

• Familiarity with tools such as Github, Jira, Confluence etc.Education

• Bachelor's Degree required

• Advanced degree majoring in Statistics, Computer Science, Mathematics, or related STEM field a plusPay Range

The typical pay range for this role is:$130,295.00 - $260,590.00

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. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefitsWe anticipate the application window for this opening will close on: 04/16/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.