Machine Learning Operations Jobs in Southbridge, MA

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary: CVS Pharmacy, Inc., a CVS Health company, is hiring for the following role in Woonsocket, RI: Sr Software Development Engineer to design and develop digital software applications and platforms. Duties include: analyze user needs and develop software solutions to meet business requirements; determine feasibility of solutions design and prepare technical design documentation; upgrade existing software applications and/or systems to improve functionality and features with a focus on performance, reliability, and maintainability; write and review high quality code and perform unit and/or automation testing; support applications, systems, and databases used to process prescriptions, claims, and related healthcare activities; collaborate with cross-functional teams on applications development, technical requirements, code review, project deliverables, quality assurance, and software development best practices; and mentor junior team members. Telecommuting available. Multiple positions.

Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and completion of a university-level course, research project, internship, or thesis in each of the following:
Node.js;
SAS;
Relational database management system: Oracle;
Programming in Java, Python, R and SQL programming languages;
Big Data platforms including Hadoop;
Visualization Tool: Tableau; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP);
Machine learning operations such as model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, and orchestration;
Quantitative analysis techniques, including clustering, regression, and pattern recognition; and
Data warehousing and Big Data implementation.
Pay Range: $109512.00/year to $203940.00/year.

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.
Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

Additional details about available benefits are provided during the application process and on Benefits Moments.

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