Lead Data Scientist - Provider Network Optimization

New York, NY, United States

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 Network Configuration team, you will play a crucial role in developing cutting-edge machine learning solutions. You will be required to stay up to date with emerging trends in the industry and leverage your expertise to create advance analytical approaches to geo-spatial and optimization problems. You will collaborate with cross-functional teams to understand business requirements, identify opportunities for machine learning integration, and create innovative solutions to complex problems.

Responsibilities

Design and development of ML driven applications, algorithms, and models that fit project requirements.

Collaborate with domain experts to understand business needs and translate them into technical requirements.

Out-standing problem-solving skills and a demonstrated ability to prototype and implement complex solutions.

Conduct research and stay current with the latest advancements, industry trends and best practices in AI/ML technologies, frameworks, and tools.

Build robust and scalable AI/ML systems that can handle large data volumes and real-time processing.

Optimize and fine-tune models for performance and accuracy.

Develop and maintain documentation, including architectural diagrams, design specifications, and code documentation.

Craft compelling narratives and visually appealing content to engage and inform senior executives on strategic initiatives, progress, achievements, and key metrics of data science and analytics projects.

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

Assist leaders in developing compelling business cases, cost-benefit analyses, and value propositions for new data science and analytics projects. Articulate this work to internal stakeholders and executive leadership and demonstrate the impact of data-driven insights on the organization's goals.

Required Qualifications

7+ years of experience using machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), with proven track record of end-to-end building and deploying advanced applications, including knowledge of geo-spatial and optimization solutions.

7+ years of experience with data preprocessing, feature engineering, and model evaluation

7+ years of experience and proficiency in working with large datasets and distributed computing platforms.

2+ years of experience with Google Cloud Platform services like Vertex AI and Kubeflow or comparable services like Airflow, Argo, etc.

Preferred Qualifications

Healthcare experience would be desired.

Knowledge of data privacy and security considerations in AI development.

Solid understanding of reinforcement learning algorithms and their applications.

Familiarity with transfer learning and domain adaptation techniques.

Proficiency in working with large-scale datasets and implementing distributed training strategies.

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.

Experience with time series analysis and forecasting using ML techniques.

Knowledge of Bayesian machine learning and probabilistic programming frameworks.

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Pay Range

The typical pay range for this role is:

$118,450.00 - $267,800.00

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 jobs.CVSHealth.com/benefits

We anticipate the application window for this opening will close on: 06/28/2024

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.