Cigna Machine Learning Senior Engineer - Evernorth in Morris Plains, New Jersey
Apply AI/Machine Learning technology to solve real-world problems
Analyze source data and data flows, working with structured and unstructured data.
Build data pipelines to extract, transform, crunch and store data in various target systems
Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends
Analyze and visualize diverse sources of data, interpret results in the business context and report results clearly and concisely
Communicate and present models to business customers and executive
Work collaboratively with partners across different technology and business groups
Teach and mentor others in the use of AI/Machine Learning
Skills & Experience
Expertise in specialized areas such as Machine Learning, Natural Language Processing, Text Mining, Graph Processing, Search, Recommendation Systems.
Strong full stack programming skills with proficiency in one of the programming languages Java, Scala or Python and willingness to work on other languages in polyglot architecture as needed.
Demonstrated ability in the application of Machine Learning/AI in real-world industrial settings with large scale data
High business acumen, Strong oral, written, and presentation skills
10+ years of experience in the IT industry
3+ years of experience with Machine Learning and Artificial Intelligence techniques and tools
5+ years of experience with data sources and platforms (Unix/Linux, Teradata, Hadoop, Spark, RDBMs like Oracle/SQL Server/PostgreSQL/DB2, Kafka)
Experience in Agile SDLC and working knowledge of DevOps tools (Jenkins, Terraform , Git, and Jira)
Bachelor’s degree in a field such as Computer Science/Engineering, Statistics, Mathematics, Statistics, Economics, Physics or the equivalence of education and experience
Master's Degree or PhD in a quantitative field such as Statistics, Mathematics, Statistics, Economics, Physics, Engineering
Experience working in IVR environments, implementing AI solutions for E-mail and text-based platforms
Exposure to graph databases
Working knowledge of cloud solutions like AWS, Azure, GCP
This role is WAH/Flex, which allows most work to be performed at home. WAH/Flex employees must be fully vaccinated against COVID-19 if they choose to come onsite or if required to periodically come on site.
For this position, we anticipate offering an annual salary of $115,100 - $191,800, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
Helping our customers achieve healthier, more secure lives is at the heart of what we do. While you take care of our customers, we’ll take care of you through a comprehensive benefits program that helps you be at your best. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and best in class well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and dozens of corporate discounts on essentials you use every day. For more details on our employee benefits programs, please visit the “Life at Cigna” tab on our careersite: www.cigna.com/careers
Evernorth, Cigna Corporation’s health services segment, exists to elevate health for all. We're building on our legacy and redefining health care as we know it. Unbiased in how we think, we create without limitation. We partner without constraints, deliver value differently and act in the interest of humanity. Solving across silos, closing gaps in care, and empowering clients, customers, and people everywhere to move onward and upward. When you work with us, you’ll be empowered to solve the problems others don’t, won’t or can’t. Join us. What difference will you make?
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourself@cigna.com for support. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response.