Summary
As a member of the Data Science Center of Expertise (DSCOE), the Data Science Senior Advisor is responsible for leading and enabling initiatives across the enterprise.
This particular DSCOE role sits within the MLOps team with a focus on supporting and championing best practices and reusable assets within the model lifecycle. This role will likely also support high-value Data Science workstreams and enterprise initiatives such as the development of foundational deep learning models. The candidate will have demonstrable aptitude in Data Science, Technical Skills, Leadership, Scoping & Impact and Ability to Influence. The successful candidate will demonstrate skills at the intersection of Data Science and Engineering, taking models that have been developed and ensuring they are supported during the model lifecycle. Responsibilities Support high-value enterprise Data Science initiatives Identify new opportunities to reduce operating expenses (OP-EX) via enhancements to model lifecycle processes Develop, test, document, productionalize, and/or champion enterprise model lifecycle assets that enable consistency, reproducibility, and model governance Act as subject matter expert in common and trending Data Science methods Creates data science specific project goals associated with project deliverables Communicate with stakeholders to identify opportunities, goals, solutions, timeline changes and rationale Develop and maintain strong collaborative relationships with technical and business matrix partners Independently delivers clear and well-developed presentations for both technical and business audiences Draft project charter, timeline, and features/stories Mentor and champion junior Data Science team members via established development programs and on a project-by-project basis Qualifications Strong proficiency in ML, Statistical Methodolgy, Python or SQL, version control (e.g., Git), as well as experience with Application Development Ability to promote best coding practices, championing a culture of documentation Thorough understanding of ML lifecycle, including necessary tradeoffs and associated risks Theoretical and practical deep learning expertise Ability to own a project end-to-end e.g., scoping, business value estimation, ideation, dev, prod, timeline Ability to work cross functionally with technical (e.g., Data Science, Data Engineering) and business (e.g., clinical, marketing, pricing, business analysts) to implement solutions with measurable value Ability to influence matrix-partner leadership Health care data (e.g., claims, EHR) knowledge preferred
If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.
For this position, we anticipate offering an annual salary of 121,400 - 202,400 USD / yearly, depending on relevant factors, including experience and geographic location.
This role is also anticipated to be eligible to participate in an annual bonus plan.
We want you to be healthy, balanced, and feel secure. That's why you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and 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 paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group . About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
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: for support. Do not email for an update on your application or to provide your resume as you will not receive a response.
The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.
