Senior Machine Learning Engineer

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

POSITION SUMMARY
Cyber Defense within CVS Health is seeking a well experienced Senior Machine Learning Engineer to join and technically lead our growing team. Senior Machine Learning Engineer will be responsible for developing and deploying security specific machine learning solutions following CVS Health specific business and technology requirements.  Additionally, this Senior Machine Learning Engineer will help to define, drive and deliver all aspects of the data science product development lifecycle, from solution architecting, programming, testing, implementation, delivery of data science analytics products.

What We Expect of You:

• Coordinate advanced data science projects and develops deliverables, taking ownership of assigned tasks and ensuring their successful completion.

• 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

• 5+ years of expertise in machine learning, statistical analysis, security, and network data to model risk-driven models of workforce behavior and provide context to security analysts to drive business decisions.

• 5+ years of programming experience in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.

• 5+ years of customer interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical audiences.

• 5+ years' experience with Gen AI/LLM/NLP/MLOps or similar methodologies.

• 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders 

• 1+ year(s) of experience independently managing deliverables

Preferred Qualifications

• Experience developing computational methods and algorithms.

• Experience in software development.

• Experience developing and applying data science methods to anomaly detection and/or times series problems.

• Experience in Cloud computing environment.

• Master's degree in data science, Mathematics, Statics.

Education

Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)

BUSINESS OVERVIEW

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.  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.

Anticipated Weekly Hours

Time Type

Pay Range

The typical pay range for this role is:

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. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

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Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.