Elevance Health - Chicago, IL

posted 3 months ago

Full-time - Entry Level
Chicago, IL
10,001+ employees
Insurance Carriers and Related Activities

About the position

The AI Machine Learning Scientist at Elevance Health will play a pivotal role in analyzing and designing solutions to meet complex and varied business needs. This position is hybrid, allowing for both remote and office work, and is ideally suited for candidates residing within 50 miles of the PulsePoint location in Chicago, IL. The working hours are Monday to Friday, from 8:00 am to 5:00 pm. In this role, the AI Machine Learning Scientist will collaborate with business partners to consult on the applications and implementation of technology. The position involves mentoring and collaborating with peers, working closely with stakeholders and design teams to address data-related technical issues, and supporting their infrastructure needs. The scientist will also be responsible for the development and enhancement of platform functionality across various communication channels, including email, SMS, and mobile push notifications. Additionally, the role includes designing and implementing complex multichannel and personalized dynamic communications, offers, and campaigns targeted at external audiences. The AI Machine Learning Scientist will support the ongoing maintenance and utilization of the platform, ensuring proper user access, governance, and the removal of any impediments to effective operation.

Responsibilities

  • Analyze and design solutions to address complex business needs.
  • Consult with business partners on technology applications and implementation.
  • Mentor and collaborate with peers in the team.
  • Assist stakeholders and design teams with data-related technical issues.
  • Support the development and enhancement of platform functionality for email, SMS, and mobile push channels.
  • Design and implement complex multichannel and personalized dynamic communications, offers, and campaigns for external audiences.
  • Maintain and utilize the platform through user access governance and removing impediments.

Requirements

  • Bachelor's degree in Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, Engineering, or related field.
  • Four (4) years of experience in data science, machine learning, and/or information technology.
  • One (1) year of experience with Python for creating machine learning and statistical models.
  • One (1) year of experience with machine learning algorithms for building customized solutions.
  • One (1) year of experience working with SQL and various data sets, both structured and unstructured.
  • One (1) year of experience in big data environments and distributed computing.

Nice-to-haves

  • Master's degree in Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, Engineering, or related field with two (2) years of experience in data science, machine learning, and/or information technology.

Benefits

  • Merit increases
  • Paid holidays
  • Paid Time Off (PTO)
  • Incentive bonus programs
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Short and long term disability benefits
  • 401(k) with matching
  • Stock purchase plan
  • Life insurance
  • Wellness programs
  • Financial education resources
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