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

Support the design, development and implementation of Security Data Analytic capabilities that leverage cybersecurity data and big data technologies to deliver efficiencies and new discovery capabilities.

Design and implement discrete and behavioral analytic capabilities to support cybersecurity operations

Design and implement resilient data pipelines and architecture for ingesting unbounded data from multiple sources with different formats leveraging Hadoop, Spark, NiFi and Kafka, Cloud-based applications (AWS, GCP, Azure)

Develop capabilities for ingesting and indexing large volumes of security-related data in Hadoop, AWS, GCP, Azure environments

Stay apprised of the latest data science technologies and techniques in order to identify areas where new tools can be applied to support ussecurity use cases

Develop visualization capabilities to data

Support the infrastructure design and implementation to ensure integration with other security systems and operational workflows

Stay apprised of the latest industry security trends and threats and apply that knowledge to the design and implementation of SDA software solutions

Required Qualifications

Experience in leveraging Hadoop, Spark, NiFi and Kafka, Cloud-based applications (AWS, GCP, Azure)

Experience in Linux operating system

Experience managing large amounts of data

REGEX experience

Preferred Qualifications

Interest and passion for learning about new technologies

Experience in processing TB’s worth of dataE

Experience designing and implementing capabilities in a Hadoop-based, Spark big data environment

Experience in design, processing, and implementing real-time data pipelines using NiFi, Kafka and Spark Streaming

Familiarity with streaming big data applications like, Kafka, NiFi, Spark streaming

Strong background in Information System Security and data science processes

Excellent written and verbal communication skills

Familiarity with statistical computing techniques, and statistics software Experience using source code management systems (e.g. Git)

Education

Bachelor degree or combination of High School diploma and relevant experience

Pay Range

The typical pay range for this role is :

$72,100.00 - $144,200.00

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.

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.