Principal Machine Learning Engineer

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

Analytics & 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 our data product powers hundreds of internal users in their work, and has a big impact on our bottom line.

As a Principal Data Engineer on the Provider Analytics team, you will drive the design, development and execution of highly complex and large-scale data structures and pipelines to organize, collect and standardize data on the Google Cloud Platform.

This role includes skills in handling, analyzing, and interpreting large volumes of data along with experience on data cleaning, manipulation, and analysis using tools such as SQL, Python, Pyspark, or other relevant software.

The goal is to define and maintain data architecture to enable business solutions, publish best practices and architecture patterns aligning to functional needs and enterprise standards, address issues / risks / dependencies in solution recommendations.

Key responsibilities include :

• Support the deployment of advanced algorithms and applications on the platform
• Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data
• Ability to translate functionality into scalable, tested, and configurable platform architecture and software
• Mentor the engineers on the team to deliver testable product increments
• Establish strong software engineering principles for development in Python on the Google Cloud Platform
• Deliver features aligned to enterprise AutoML, Feature Engineering, and MLOPS capability
• Enable logging and monitoring and automation of key metrics and metadata to standardize across platform tenants
• Enable configuration driven infrastructure components depending on the use case
• Enable integration with data across the enterprise (RDBMS, 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

Required Qualifications

• 7+ years of experience in software development in analytics domains, and deep understanding of ML operationalization and lifecycle management
• 5+ years of deploying and monitoring analytical assets in batch / real-time business processes
• 5+ years of Python programming experience leveraging strong software development principles

Preferred Qualifications

• Hands on experience in building solutions using cloud native services (GCP preferred) : bucket storage, BigQuery, Kubeflow, DataProc, VertexAI, DataFusion
• Understanding of DevOps, Infrastructure as Code, automation for self service
• Lead contributor to open-source python frameworks for data processing

Education

Bachelor’s Degree in Computer Science or Equivalent Work Experie, Masters or PHD preferred

Pay Range

The typical pay range for this role is :

$144,200.00 - $288,400.00

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.