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CVS Health Machine Learning Engineer in New York, New York

Job Description

Looking for opportunities to use cutting edge technologies analyzing petabytes of data in a world class Hadoop cluster? Interested in generating analytical insights that inform provider networks and engagement strategies that support members on their individualized health and wellness journey? CVS/Aetna’s Analytics and Behavior Change Team delivers strategically impactful programs and tools that expand convenient access to high-quality and affordable care for all members across multiple channels across all stages of life.This position is for a Machine Learning Engineer (MLE) role in the Analytics and Behavior Change group. We employ data science and machine learning models, to deliver personalized nudges to improve member health and encourage healthy actions. The candidate will work with a team of data scientists to develop analytics module with a full suite of A/B testing features, build machine leaning models to provide real time next best action for users and create a self learning optimization engineAs a machine learning engineer, you will:• Work closely with data scientists, software developers and product managers to take ML-powered services from inception to production • Lead exploration, design and execution of machine learning models and frameworks that deliver value to our users.• Build data pipelines and leverage high-quality datasets to power your Machine learning models• Utilize modern software and data-engineering stacks to enable training, deployment and lifecycle management of ML models• Lead the performance and ongoing enhancements of your products.

Required Qualifications

2 or more years of progressively complex related experience.

Preferred Qualifications

• 1+ yrs experience as part of a data science, machine learning, or other software development team• Proficiency in Python• Experience with machine learning frameworks & toolkits• Experience building and productionizing applied machine learning products • Experience with modern software-engineering practices• Experience with big data, preferably using Spark, Hadoop and Hive.• Familiarity with Docker/Kubernetes and cloud technologies is a plus• Excellent problem solving skills, critical thinking and conceptual thinking abilities• Great communication and cross-team collaboration skill


Master’s degree or PhD preferred.Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline.

Business Overview

At CVS Health, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited 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.