Lead Machine Learning Engineer ( Python , ML , DE , ...

Job DescriptionAnalytics & Behavior Change is an innovation engine supporting the entire CVS Health organization by embedding deep insights into key decision processes and focusing on our biggest, most complex problems. Join Analytics & Behavior Change to make a meaningful difference to our communities through data and analytics and help CVS Health change the landscape of the health care industry This position lies within the Enterprise Data & Machine Learning team. The EDML team focuses on data and ML platform design and development aimed at improving the productivity and efficacy of thousands of fellow data scientists and engineers throughout the organization. This foundation will facilitate hundreds of millions of ML enabled member and consumer touchpoints. Our work is ambitious and far reaching with the potential to become a new internal standard, an OSS project, or differentiating intellectual property. The Enterprise Data and Machine Learning team developing CVS Health's Machine Learning and Feature Engineering Platform is looking for an exceptional Lead Machine Learning Engineer to join our team that is building the cloud ML platform to supercharge analytics in a modern centralized ecosystem across the enterprise. As a Lead Machine Learning Engineer on the Enterprise Cloud Data and Machine Learning Engineering Platform team, you will inform the design and deliver the functionality related to the end-to-end ML and Feature Engineering lifecycle management on the Google Cloud Platform. You will leverage and integrate the cloud native services with other standard operational and automation tools with the goal of establishing the foundational services, automation for project and user enablement, defining best practices, and accelerators for self-service project and use case enablement. The platform serves as the enterprise standard to enable scale, security, transparency, reliability, and speed of analytical asset delivery into production. Key responsibilities include: Understanding and supporting deployment of advanced algorithms and applications on the platform Enabling functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data Establishing strong software engineering principles for development in Python on the Google Cloud Platform Ability to translate functionality into scalable, tested, and configurable platform software delivered in testable product increments Delivering features aligned to enterprise AutoML, Feature Engineering, and MLOPS capability Defining the process and implement logging and monitoring packages for automation of key metrics and metadata to standardize across platform tenants Enabling configuration driven infrastructure components depending on the use case Enabling integration with data across the enterprise (RDBMS systems, Warehouses, BigQuery, Bucket Storage) Innovative thinking and great communication skills Strong ownership of deliverables, with design decisions aligned to scale and industry best practices Working with cross functional teams in an agile environment"¯"¯ Hybrid work model would include coming onsite approximately 1-2x/week, 4-8x/month in Woonsocket, RI; NYC; Harford, CT or Wellesley, MA.Pay RangeThe typical pay range for this role is:Minimum: 115,000Maximum: 230,000Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.Required Qualifications 5+ years of experience in software development in analytics domains, and deep understanding of ML frameworks 5+ years of deploying and monitoring analytical assets in batch/real-time business processes 3+ years of Python programming experience leveraging strong software development principlesPreferred Qualifications Hands on experience in building solutions using cloud native services (GCP preferred AWS acceptable): bucket storage, BigQuery, Kubeflow, DataProc, VertexAI, DataFusion Healthcare, Retail, Pharmacy and/or Insurance domain experienceEducationBachelor's Degree in Computer Science, Masters or PHD preferredBusiness OverviewBring 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. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. 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. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.

Created: 2025-11-15