Lead Data Scientist ML - Forecasting

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. 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 health care more personal, convenient and affordable. Position Summary As a Lead Data Scientist on the Retail Strategic Health Analytics team, you will play a critical role on some of the most impactful projects supporting the Retail Pharmacy at CVS. Our work broadly involves improving pharmacy staffing outcomes, leveraging a variety of techniques, including but not limited, to time series modeling, unsupervised learning, causal inference, and stochastic simulation. You will be expected to serve as a thought leader, mentor, and developer of advanced AI/ML solutions. More generally, you will have the following responsibilities: Develop, validate, and execute AI/ML models to solve complex business problems. Collaborate with senior leadership and subject matter experts to outline requirements and areas for support Evaluate and blueprint solutions using AI/ML in conjunction with data scientists and team leadership Coordinate with MLOps and Data Engineers to streamline data and ML/AI pipelines for deployment Outline and execute on methods to fine-tune models for performance and accuracy. Contribute to team eminence for AI/ML methods and coding and documentation standards. Serve as a mentor to junior data scientists, providing guidance on methods and resources, and reviewing analytical solutions. Compile and present results to executive audiences in a clear, compelling, and honest manner. Required Qualifications 1 years of experience with building Time Series models and pipelines related to demand forecasting 5 years of experience developing proven AI-driven applications 5 years of experience using machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and natural language processing and generative AI techniques with proven track record of end-to-end building and deploying advanced applications, including knowledge of model serialization and deserialization. 5 years of experience with data preprocessing, feature engineering, and model evaluation 5 years of experience and proficiency in working with large datasets and distributed computing platforms 1 years of experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for deploying AI solutions Preferred Qualifications Healthcare Industry experience is desired. Knowledge of data privacy and security considerations in AI development. Expertise in generative AI techniques, including generative adversarial networks (GANs), variational autoencoders (VAEs), or similar architectures. Proficiency in integrating low-code and no-code solutions with custom code and external systems through APIs and connectors. Familiarity with causal inference methods and counterfactual reasoning in machine learning. Knowledge of Bayesian machine learning and probabilistic programming frameworks. Proficiency in deploying ML models in production environments, including containerization, and serving frameworks. Education Bachelor's or Master's degree in Computer Science, Engineering, or a related field. PhD or Master’s in Artificial Intelligence, Engineering or a related field. Pay Range The typical pay range for this role is: $124,372.50 - $247,200.00 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. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit Benefits | CVS Health (https://jobs.cvshealth.com/us/en/benefits) We anticipate the application window for this opening will close on: 12/30/2024 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.