Senior Data Scientist

CVS Health • Chicago, CT

1d

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary At Aetna®, part of CVS Health, we proudly serve more than 26 million medical members through our broad range of health plan offerings. We're committed to delivering a simpler, more meaningful, and personal health care experience to each of them. As a Senior Data Scientist you will be working on a Medicare Analytics team that will help make business decisions and, you will play a critical role in supporting our Aetna members and our business. Come work at a place where innovation is encouraged and impact is real. You’ll have the opportunity to build models, experiment with creative ideas, and introduce new approaches to solving complex Member Experience challenges and making a direct difference in our members lives.

Requirements

• 3+ years of relevant Data Science experience
• 3+ years' experience programming in Python
• 3+ years' experience programming in SQL
• 2+ year experience working with Cloud Technology (GCP, AWS or Azure)
• 1+ year experience deploying models in production
• Bachelor's degree or equivalent work experience in Business Analytics, Economics, Physics, Engineering, Mathematics, Statistics, Computer Science, or related discipline.

Nice To Haves

• Experience in Google Cloud/BigQuery
• 2 plus years of healthcare or health insurance experience
• Strong problem-solving experience with a history of making business impact
• Knowledge of Time Series forecasting techniques, and Machine learning methods including classics like SARIMA, exponential smoothing, time series regressions, and machine learning methods like LSTM, XGBoost, etc

Responsibilities

• Model Development: Develop and implement advanced machine learning models for forecasting and predictive analytics. As a key member of our team, you will be responsible for developing and standardizing forecasting applications using time series techniques to provide forward-looking insights to our members, to improve Member experience
• ML-Ops: Develop, deploy and maintain machine learning models in production, ensuring robust and scalable solutions.
• Collaboration: Work closely with cross-functional teams, including product managers, engineers, and business analysts, to understand business needs and deliver data-driven solutions.
• Innovation: Stay up-to-date with the latest advancements in data science and machine learning, and apply them to improve existing processes and models.
• Reporting: Create and present detailed reports and visualizations to communicate findings and recommendations to stakeholders.
• Analytical Skills: Strong problem-solving skills and the ability to work with complex datasets
• Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Benefits

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees