Data Science Senior Advisors- Hybrid

Cigna Healthcare • New York, NY

9d • Hybrid

About The Position

The job profile for this position is Data Science Senior Advisor, which is a Band 4 Senior Contributor Career Track Role with Cigna-Evernorth Services Inc. Responsibilities- Act as subject matter expert in MLOps frameworks, bridging the gap between data science and engineering, ensuring models are developed, deployed, monitored and maintained effectively. Develop, productionalize, and support enterprise initiatives projects (e.g., deep learning foundational models). Develop, test, document, productionalize, and champion enterprise model lifecycle assets that enable consistency, reproducibility, and model governance for multiple domains (e.g., Clinical, UW/pricing, etc.) across multiple lines of business (e.g., US Medical, Pharmacy, and Benefits Management). Foster productive collaboration with engineering and infrastructure colleagues to optimize and enhance model lifecycle management and enable rapid value delivery. Develop and maintain strong collaborative relationships with technical and business matrix partners. Develop actionable value- and data-driven communication for internal and public-facing stakeholders to scale. Independently deliver clear and well-developed presentations for both technical and business audiences. Mentor Data Scientists and Data Engineering partners, both stateside and offshore, in all the responsibilities above. Hybrid work schedule. The salary for this position is $152,000.00 per year and this role is eligible for standard company benefits. Qualifications- Requires a Master’s degree in Data Science, Geographic Information Science, or a related quantitative field and 2 years of data science experience. Must have experience with: Python; SQL; R; Git; Machine Learning; Deep Learning; Statistical Analysis; Database Management; Natural Language Processing; Application Development; GitHub; PySpark; Databricks; PyTorch; and TensorFlow. 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 131,200 - 218,600 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. At The Cigna Group, 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), 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, click here. 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: [email protected] for support. Do not email [email protected] 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. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. 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.

Requirements

• Requires a Master’s degree in Data Science, Geographic Information Science, or a related quantitative field and 2 years of data science experience.
• Must have experience with: Python; SQL; R; Git; Machine Learning; Deep Learning; Statistical Analysis; Database Management; Natural Language Processing; Application Development; GitHub; PySpark; Databricks; PyTorch; and TensorFlow.
• 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.

Responsibilities

• Act as subject matter expert in MLOps frameworks, bridging the gap between data science and engineering, ensuring models are developed, deployed, monitored and maintained effectively.
• Develop, productionalize, and support enterprise initiatives projects (e.g., deep learning foundational models).
• Develop, test, document, productionalize, and champion enterprise model lifecycle assets that enable consistency, reproducibility, and model governance for multiple domains (e.g., Clinical, UW/pricing, etc.) across multiple lines of business (e.g., US Medical, Pharmacy, and Benefits Management).
• Foster productive collaboration with engineering and infrastructure colleagues to optimize and enhance model lifecycle management and enable rapid value delivery.
• Develop and maintain strong collaborative relationships with technical and business matrix partners.
• Develop actionable value- and data-driven communication for internal and public-facing stakeholders to scale.
• Independently deliver clear and well-developed presentations for both technical and business audiences.
• Mentor Data Scientists and Data Engineering partners, both stateside and offshore, in all the responsibilities above.

Benefits

• health-related benefits including medical, vision, dental, and well-being and behavioral health programs
• 401(k)
• company paid life insurance
• tuition reimbursement
• a minimum of 18 days of paid time off per year
• paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level