Machine Learning Lead Analyst - Evernorth

POSITION SUMMARY

The Lead Analyst uses specialized depth and experience to develop and modify complex software application programs supporting Machine Learning and Artificial Intelligence initiatives. This position will be responsible for advocating, educating and ensuring that machine learning (ML) teams across the enterprise are following best practices around the preferred technology stacks, as well as implementing Machine Learning applications and proof of concepts (POC). As a member of the newly formed Machine Learning Center of Excellence, This position will also create detailed specifications, conduct quality assurance reviews of peer's application programming, and act as a resource for team members with less experience.

ESSENTIAL FUNCTIONS
Create Machine Learning Solutions to achieve organizational objectives
Consult to product development team’s best practices related to Machine Learning application development and Machine Learning/AI-specific infrastructure technology stacks (e.g. GPU-based systems, A.I. in public cloud, etc).
Apply best practice software engineering principles towards the development of applications, in order to productionalize Machine Learning models produced by Data Scientists and ML Engineers
Leverage Big Data and Data Science tools (i.e. one or more of Hadoop, Spark, Python, R) to both source and work with data
Ensure quality of technology delivery of multiple vendors’ technology solutions for multiple concurrent projects or programs for an application family.
Deliver solutions for multiple concurrent projects within an application family
Identify and implement process enhancement opportunities associated with supporting the application area.
Implement actions to increase ESI and vendor partner knowledge on team.
Serve as SME for components of the team.
Provide technical guidance to projects/programs for complex components of a multiple technology suites.
Develop standard practices, components, guidelines for use of complex technology components.
Resolve urgent and high production incidents.
Determine root cause of problems and drive resolution.
Work on special projects as assigned.

QUALIFICATIONS
Expertise in Machine Learning and Data Science areas
2 years of Machine Learning experience
Bachelor’s degree and 3 years of relevant experience or a Master’s degree and 1 years of relevant work experience.
Some academic background in Machine Learning strongly preferred
Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
Technical Skills: Python Programming, Oracle, SQL Server
Complete understanding and wide application of technical principles, theories and concepts in the field.
Strong customer service focus.
Familiarity with health care or PBM industry.
Ability to work a flexible schedule to accommodate project deadlines.
Adaptability and willingness to lean new tools and applications.

For this position, we anticipate offering an annual salary of $82,200 - $137,000, 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

About Evernorth
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.