[Hiring] Machine Learning Engineers II @Centene Corporation

Role Description

You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility.

• Design, develop, and conduct research around Machine Learning (ML) systems, moderately complex models, and schemes to apply to appropriate datasets for data modeling and statistical analysis.
• Identify differences in data distribution that could affect model performance in real-world situations.
• Analyze use cases of ML algorithms and apply findings to enable business decisions by deriving insights through data visualization.
• Maintain and support ML/AI software platforms by reviewing and solving moderately complex issues and running moderately complex ML/AI models.
• Understand and communicate business objectives and develop moderately complex models that help to achieve them, along with metrics to track their progress.
• Write software documentation and moderately complex software code to extract data from a variety of databases and data sources.
• Manage available resources such as hardware, data, and personnel so that deadlines are met and deploy predictive models using established software patterns.
• Analyze the ML algorithms that could be used to solve a given problem and rank them by their success probability.
• Explore and visualize data to gain an understanding of it and verify data quality, and/or ensure data quality via data cleaning.
• Analyze errors of the model and design strategies to overcome errors.
• Write software code to enable and automate machine learning model training and deployment.

Position reports to Centene headquarters at 7700 Forsyth Boulevard, St. Louis, MO 63105 and various unanticipated worksites throughout the U.S. Telecommuting permitted 100% of the time. No additional national or international travel is anticipated.

Qualifications

• Bachelor’s degree in Information Science and Technology, Statistics, Mathematics, Engineering, Computer Science, or related, or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.
• 2 years of relevant work experience.
• Experience with the following skills is required:
• Designing, developing, and conducting research around Machine Learning (ML) systems, moderately complex models, and schemes to apply to appropriate datasets for data modeling and statistical analysis.
• Maintaining and supporting ML/AI software platforms by reviewing and solving moderately complex issues and running moderately complex ML/AI models.
• Analyzing errors of the Financial, Fraud Waste & Abuse models and designing strategies to overcome errors.
• Writing software code to enable and automate machine learning model training and deployment.

Requirements

• Job Site: 7700 Forsyth Boulevard, St. Louis, MO 63105
• Work Hours: Monday-Friday, 40 hours/week [8:00 am to 5:00 pm]
• Pay Range: $120,828.02 to $161,300.00 per year

Benefits

• Competitive pay
• Health insurance
• 401K and stock purchase plans
• Tuition reimbursement
• Paid time off plus holidays
• Flexible approach to work with remote, hybrid, field or office work schedules

Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.

Company Description

Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act.