Data Scientist at CVS Health developing algorithms to extract information from legal contracts. Responsible for system improvements and stakeholder communication to drive business results.
About the role
- Lead AI Strategist at CVS Health guiding data science for supply chain analytics. Driving innovation through strategic AI deployment and optimizing business operations for growth.
Responsibilities
- Collaborate with leaders in data science, analytics, and supply chain business to develop the overall strategic direction for the department
- Help identify and prioritize strategic initiatives and areas for AI implementation to drive business growth and enhance the company's tech capabilities
- Build a roadmap for rolling out AI solutions across the organization
- Utilize your analytical skills to assist leaders in developing comprehensive business cases for new data science and analytics projects including AI deployment
- Exploring potential AI use cases and explaining their benefits
- Conduct cost-benefit analyses and identify the potential value proposition of proposed initiatives to support decision-making
- Work closely with the leaders to identify and articulate the value proposition of data science and analytics initiatives to internal stakeholders and executive leadership
- Translate complex technical concepts into compelling business cases that demonstrate the impact of data-driven insights on the organization's goals
- Serve as a key communicator and influencer, ensuring effective and timely communication between the data science and analytics team and other departments
- Facilitate cross-functional collaboration and alignment by clearly articulating the benefits and potential business impact of data-driven solutions
- Develop impactful presentations for executive leadership that effectively communicate the strategic initiatives, progress, achievements, and key metrics of data science and analytics projects
- Craft compelling narratives and visually appealing content to engage and inform senior executives
- Oversee the execution of strategic data science and analytics initiatives
- Collaborate with project managers and stakeholders to ensure projects are delivered on time, within budget, and meet the identified business objectives
- Develop and implement performance tracking mechanisms to monitor the progress and impact of data science and analytics initiatives
- Create regular reports and presentations to communicate progress, achievements, and key metrics to leadership and stakeholders
- Monitor progress, manage changes, and evaluate profitability of AI solutions
- Identify areas of improvement for organizational processes and make recommendations
- Evaluate AI technologies to address specific needs
- Consider ethical implications of integrating AI capabilities
- Create frameworks for AI system deployment and use
- Educate and support teams during AI integration
Requirements
- 10+ years of experience in developing and executing strategic plans and initiatives
- Management Consulting or similar experience in developing comprehensive business cases for data science and analytics projects
- Experience working in cross-functional and matrixed teams
- Demonstrated experience in driving strategic analytics/AI initiatives and value realization from programs
- Strong analytical skills with the ability to conduct cost-benefit analyses and assess the potential ROI of proposed initiatives
- Experience in translating technical concepts into business-oriented language to influence decision-making
- Prior experience working in data science and analytics or a related field
- Exceptional interpersonal skills with the ability to cultivate strong relationships with internal and external stakeholders
- Demonstrated experience in fostering collaboration and driving alignment across diverse teams
- A deep understanding of business drivers, organizational dynamics, and industry trends in data science and analytics
- Ability to identify opportunities and frame the business problem in and analytics context to address organizational challenges
- Continuous learning and adaptability: Staying updated with the rapidly evolving AI landscape, emerging trends, and new technologies.
- Knowledge of programming languages like Python, as well as experience with AI frameworks and tools like TensorFlow and PyTorch preferred.
- Retail supply chain experience from a top industry player and management consulting firm
Benefits
- Affordable medical plan options
- 401(k) plan (including matching company contributions)
- Employee stock purchase plan
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Paid time off
- Flexible work schedules
- Family leave
- Dependent care resources
- Colleague assistance programs
- Tuition assistance
- Retiree medical access
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
GIS Specialist supporting the delivery of geospatial solutions for pricing, underwriting, and risk management decisions. Collaborating with data scientists and engineers in a dynamic environment.
GIS Manager leading the development and implementation of geospatial capabilities at Aviva Canada. Overseeing a team in delivering modern GIS tools and supporting key business areas.
Head of Data and Analytics centralizing insights to build data - driven decision - making framework. Drive digital transformation at Gorilla in the energy sector through innovative data solutions.
Senior Data Scientist developing advanced machine learning models to drive data - driven decision making. Collaborating with stakeholders to identify business solutions using company data.
Data Scientist role at PayPal focusing on data analysis and model implementation for dispute management solutions. Engaging in collaboration and optimization of data processes.
Data Science Intern at Seagate working to enhance equipment performance and operational efficiency. Collaborating with engineers and applying data science techniques to improve reliability.
Data Science Intern enhancing media processing tools using I4.0 technologies and Python. Focused on data - driven decision - making and developing AI models in a tech - driven environment.
Intern to transform Supply Chain Finance with automation, predictive analytics, and scenario modeling. Build real solutions using Python, SQL, and data visualization tools.
Senior Data Scientist developing AI solutions that enhance fulfillment strategies for Sam's Club. Collaborating cross - functionally to operationalize AI - driven insights and mentor junior scientists.