Lead Cognitive/Machine Learning Professional – MLP

Description Humana is seeking a Lead Cognitive/Machine Learning Professional to join our Fortune #40, Best Places to Work company and help us make a different as a help our members achieve their best health! You will have the opportunity to work on challenging Machine Learning and AI projects with the goal to improve the everyday life of our members. Responsibilities As a Lead Cognitive/Machine Learning Professional, you may direct a small team of engineers. You will collaborate with data scientists, analysts, business and IT teams to design, implement, and deploy Machine Learning and AI services using Python, PySpark, Azure services, Databricks, Terraform, and other open-source software. You will be expected to lead by example, to develop plans, designs, code, and documentation, and to perform code reviews, testing, and debugging. You will embrace and enforce best practices in our data science community with automated, repeatable data pipelines. Some examples of how we add capabilities to Humana’s Machine Learning Platform include: Creating templates for data scientists, embracing leading-edge modeling techniques Establishing a Feature Store with tens of thousands of features available to use in predictive models Defining monitoring, auditing, data lineage, and dependency tracking for data pipelines to improve quality Integrating ethical AI bias monitoring and drift analysis into modelling processing Standardizing the definitions of clinical, financial, and actuarial features for use across the business Engineering Philosophy: Build and deploy ML models on Azure, using best practices in security, and Azure services Understand best practices for effective predictive models, including cluster management and algorithms, and evangelize with Humana Data Scientists Thrive in a fast-paced agile environment, closely interacting with business analysts, software engineers, machine learning scientists, data engineers, and data scientists Mentor junior team members, to help grow and mature the overall skillset of the team Role Essentials BS in Computer Science or related field 3 years of experience working on cloud platforms 5 years of experience with Machine Learning and AI 5 years of software development experience, with significant Python experience Solid knowledge of data structures and algorithms Ability to learn new technologies and comprehend unfamiliar data domains and business processes quickly Role Desirables Open-source contributions and portfolio of shipped code at GitHub Familiar with healthcare applications, terminologies, and data Passion projects with ML/AI/NLP, for example Kaggle competitions and Hackathons Additional Information Location/Work Style: Remote US Why Humana? At Humana, we know your well-being is important to you, and it’s important to us too. That’s why we’re committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few: Work-Life Balance Generous PTO package Health benefits effective day 1 Annual Incentive Plan 401K - Excellent company match Well-being program Paid Volunteer Time Off Student Loan Refinancing If you share our passion for helping people, we likely have the right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office associates’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information #LI-Remote Scheduled Weekly Hours 40