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. **A Brief Overview** Extracts knowledge and insights from data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, including predictive analysis, business intelligence, pattern recognition, operational effectiveness and/or economic forecasting. Key skills include data analysis techniques (e.g., A/B testing, association rule learning, cluster analysis, pattern recognition and predictive modeling), data analysis and visualization software (e.g., Domo, Looker, PowerBI, Qlik, Tableau, SiSense), object-oriented programming languages (Java, Python, R, Ruby, Scala, C++) and/or data engineering skills (relational or NoSQL databases, ETL tools). **Key Responsibilities:** + Design the architecture of complex Data/ ML solutions, ensuring they are scalable, maintainable, and aligned with business goals + Drive the technical roadmap, making strategic decisions about tools, technologies, and methodologies + Establish and enforce coding standards, best practices, and design patterns across the engineering team + Mentor and guide engineers at all levels, fostering a culture of continuous learning and professional development + Identify and resolve performance bottlenecks in applications, ensuring they meet high standards for performance and reliability + Implement and advocate for best practices in security, ensuring applications are secure and compliant with relevant regulations + Maintain comprehensive documentation for product design, development processes, and deployment procedures + Act as a liaison between technical teams and non-technical stakeholders with the ability to articulate complex technical concepts ensuring clarity and understanding to create data products **Required Qualifications:** + 8+ years of Data & Analytics, specializing in the design and development of Data & ML pipelines and/or platforms + 8+ years of experience with Python & SQL programming language + 7+ years of experience with data preprocessing, feature engineering and model evaluation + 6+ years of experience with cloud platforms (Google Cloud, Azure) + 6+ years of experience working with machine learning concepts and workflows **Preferred Qualifications:** + Hands-on experience working in scalable distributed computation frameworks like Spark or Dask. + Hands-on experience in Model Training, batch and real time Inferencing solutions leveraging Python libraries such as PyTorch, Tensorflow, Scikit-Learn, Keras, and/or XGBoost. + Familiarity with working in Dev/ML Ops model and industry deployment best practices using CI/CD tools and infrastructure as a code (e.g., Jenkins, Docker, Kubernetes). + Experience within an IT infrastructure domain and familiarity with telemetry/log data and concepts is highly desirable. + Expertise with working with open-source ML platforms & toolsets such as kubeflow, Airflow and Feast is preferred. + Experience implementing or maintaining Feature Stores. + Advanced SQL skills for complex query writing, optimization, and database management. + Experience in deploying supervised machine learning, time series modeling, CNNs, ensemble models. + Experience in handling data and model drift including model monitoring. + Experience with online model inference. + Exposure to deploying ML optimization models such as Pyomo/ IPOPT. + Exposure in implementing Gen AI and/or NLP based solutions using LLMs. + Excellent communication and collaboration abilities. **Pay Range** The typical pay range for this role is: $118,450.00 - $236,900.00 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: 03/09/2025 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.