CVS Health
New York, New York, United States
Sr. Data Scientist, Effectiveness & Optimization
Posted over 1 month ago
Job Description
Job Description
Combining CVS Health and Aetna was a ground-breaking moment for our company and our industry, establishing CVS Health as the nations premier health innovation company. Through our health services, insurance plans and community pharmacists, were pioneering a bold new approach to total health.
As a CVS Health colleague, youll be at the center of it all. We offer a diverse work experience that empowers colleagues for career success. In addition to skill and experience, we also seek to attract and retain colleagues whose beliefs and behaviors are in alignment with our core values of collaboration, innovation, caring, integrity and accountability.
This position will be a key part of the Medicare Retention Analytics team at CVS Health. This team helps drive net business growth through member retention, focusing on strategic planning, foundational insights, product deep dives, distribution strategy as well as member outreach and experience.
You will be a part of a fast-paced, innovative, collaborative team, helping solve problems, drive impact, and deliver key insights to our customers by leveraging innovations in data science, machine & deep learning, and predictive modeling techniques. You will derive meaning from data and deploy robust solutions through our partnership with Retention Center of Excellence, partnering with key central as well as nationally distributed stakeholders.
ROLE & RESPONSIBILITIES
* Impact retention programs by helping target the right audience with the right tactic
* Leads and participates in the development, validation and delivery of algorithms, statistical models and reporting tools. Solves complex analytical problems.
* Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
* Builds churn risk prediction models by member type by product
* Develops receptivity and uplift models to predict likelihood of lapse prevention
* Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
* Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics. Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions.
* Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
* Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
* Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
Required Qualifications
* 5 or more years of progressively complex related experience.
* Demonstrates strong ability to communicate technical concepts and implications to business partners.
* Anticipates and prevents problems and roadblocks before they occur
* Prior experience in lifetime value modeling, risk prediction preferred
* Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
* Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.
* Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
* Masters degree or PhD preferred.
Preferred Qualifications
PLEASE SEE ABOVE
Education
PLEASE SEE ABOVE
Business Overview
At Aetna, a CVS Health company, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
Combining CVS Health and Aetna was a ground-breaking moment for our company and our industry, establishing CVS Health as the nations premier health innovation company. Through our health services, insurance plans and community pharmacists, were pioneering a bold new approach to total health.
As a CVS Health colleague, youll be at the center of it all. We offer a diverse work experience that empowers colleagues for career success. In addition to skill and experience, we also seek to attract and retain colleagues whose beliefs and behaviors are in alignment with our core values of collaboration, innovation, caring, integrity and accountability.
This position will be a key part of the Medicare Retention Analytics team at CVS Health. This team helps drive net business growth through member retention, focusing on strategic planning, foundational insights, product deep dives, distribution strategy as well as member outreach and experience.
You will be a part of a fast-paced, innovative, collaborative team, helping solve problems, drive impact, and deliver key insights to our customers by leveraging innovations in data science, machine & deep learning, and predictive modeling techniques. You will derive meaning from data and deploy robust solutions through our partnership with Retention Center of Excellence, partnering with key central as well as nationally distributed stakeholders.
ROLE & RESPONSIBILITIES
* Impact retention programs by helping target the right audience with the right tactic
* Leads and participates in the development, validation and delivery of algorithms, statistical models and reporting tools. Solves complex analytical problems.
* Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
* Builds churn risk prediction models by member type by product
* Develops receptivity and uplift models to predict likelihood of lapse prevention
* Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
* Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics. Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions.
* Interacts with internal and external peers and managers to exchange complex information related to areas of specialization.
* Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
* Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
Required Qualifications
* 5 or more years of progressively complex related experience.
* Demonstrates strong ability to communicate technical concepts and implications to business partners.
* Anticipates and prevents problems and roadblocks before they occur
* Prior experience in lifetime value modeling, risk prediction preferred
* Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
* Demonstrates proficiency in most areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and in-depth specialization in some areas.
* Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
* Masters degree or PhD preferred.
Preferred Qualifications
PLEASE SEE ABOVE
Education
PLEASE SEE ABOVE
Business Overview
At Aetna, a CVS Health company, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.
We are committed to maintaining a diverse and inclusive workplace. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, gender, gender identity, age, disability or protected veteran status. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
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