- 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
- 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
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Data Science Senior Advisor - Bloomfield, United States - The Cigna Group
Description
The job profile for this position is Data Science Senior Advisor, which is a Band 4 Senior Contributor Career Track Role.Excited to grow your career?
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply
Our people make all the difference in our success.
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
Qualifications
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.
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.Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link.