Lead Data Scientist ML - Forecasting

$124,373 - $247,200/Yr

CVS Health - New York, NY

Full-time - Mid Level

New York, NY

Health and Personal Care Retailers

About the position

As a Lead Data Scientist on the Retail Strategic Health Analytics team at CVS Health, you will be instrumental in driving impactful projects that enhance pharmacy staffing outcomes. This role involves leveraging advanced AI/ML techniques, including time series modeling and causal inference, to solve complex business problems. You will serve as a thought leader and mentor, guiding junior data scientists while collaborating with senior leadership to develop and deploy AI-driven solutions.

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.

Requirements

• 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.

Nice-to-haves

• 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.

Benefits

• Full range of medical, dental, and vision benefits.
• 401(k) retirement savings plan.
• Employee Stock Purchase Plan.
• Fully-paid term life insurance plan.
• Short-term and long-term disability benefits.
• Well-being programs.
• Education assistance and free development courses.
• CVS store discount and discount programs with participating partners.
• Paid Time Off (PTO) and paid holidays.