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 ourselves accountable 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.

Company: CVS Health

Role: Machine Learning Engineer

Location: Work at Home, Texas, United States

Key Skills:

Java
Python
Node.js
NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
Machine learning
Statistical analysis
Predictive modeling
Machine learning algorithms
Feature engineering
Model training
Hyperparameter tuning
Distributed model training
Supervised and unsupervised learning implementation
Quantitative analysis techniques
Clustering
Regression
Pattern recognition

Qualification:

Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, Data Science, Statistics, Mathematics, Analytics, or a related field
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

Role Focus:

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
Collaborate with Data Engineers, Data Scientists, and Product Managers to drive towards business objectives and key performance indicators (KPIs)

Other:

Pay Range: $96034.00/year to $ /year
Eligible for a CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program
Medical, dental, and vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
Fully-paid term life insurance plan
Short-term and long term disability benefits
Well-being programs
Education assistance
Free development courses
CVS store discount
Discount programs with participating partners
Paid Time Off (“PTO”) or vacation pay
Paid holidays

Machine Learning Engineer

Skills Required

Description

Key Skills:

Qualification:

Role Focus:

Other:

Prepare for this role

More Python jobs