Machine Learning Engineer

Position Summary: Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Machine Learning Engineer to Design, develop, and implement enterprise ML products and platforms for data scientists; develop, test, and deploy ML pipelines; apply data modeling, machine learning, predictive modeling, and statistical analysis to extract and analyze information and build end-to-end solutions to meet organizational objectives; research, experiment with, implement, train, and retrain ML algorithms and tools; engage with business stakeholders to translate requirements into technical solutions leveraging ML models and technologies; analyze data and identify differences in data distribution that could impact model performance in real-world use cases using industry leading tools, technologies and best practices; design ML approach, apply appropriate techniques, and develop custom algorithms as needed to address business problems and predict outcomes of interest; apply sampling techniques and investigate adversarial trends, identify behavior patterns, and respond with logic changes; compare models using statistical performance metrics and ensure accuracy of business metrics; visualize, interpret, and report data findings to internal clients and leadership; mentor junior team members; and collaborate with Data Engineers, Data Scientists, and Product Managers to drive towards business objectives and key performance indicators (KPIs). Telecommuting available. Multiple positions.

Requirements: Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, 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: Java, Python, or Node.js; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); Machine learning, statistical analysis, and predictive modeling; Machine learning algorithms; Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; Quantitative analysis techniques, including clustering, regression, and pattern recognition; Contributing to large-scale applications development, data science, or data analytics projects; and Developing data science products.

Pay Range: $96034.00/year to $144200.00/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.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.