Senior Data Scientist

Key Skills

Java Programming, Python Programming, Adobe Creative Suite, SQL

Job Description

CVS Health’s Consumer Tech analytics team is an innovative team tasked with optimizing our ability to engage with consumers across a suite of CVS Health digital assets to help them make better healthcare decisions.

Our goal is to improve clinical outcomes by increasing digital engagement via personalized outreach. To do this we’ve developed a leading capability that combines data science, agile marketing, behavioral economics, large scale experimentation, and optimization of our digital properties and applications. Through this we message millions of consumers each year about real challenges they face and help them become healthier and save money – we drive tangible and meaningful impact for our consumers.

As a Sr. Data Scientist, you will apply a range of skills from analytics, statistics, and data science to build a suite of personalization capabilities that improve the CVS consumer’s digital experience.

• Leads and participates in the development, validation and delivery of algorithms, statistical models and reporting tools. Solves complex analytical problems.
• Fundamental Components:
• Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
• 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

Preferred Qualifications:

• Experience working with Clickstream data (i.e., Adobe)
• Experience working in healthcare or wellness industry

COVID Requirements

CVS Health requires its Colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, or religious belief that prevents them from being vaccinated.

If you are vaccinated, you are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status within the first 10 days of your employment. For the two COVID-19 shot regimen, you will be required to provide proof of your second COVID-19 shot within the first 45 days of your employment. In some states and roles, you may be required to provide proof of full vaccination before you can begin to actively work. Failure to provide timely proof of your COVID-19 vaccination status will result in the termination of your employment with CVS Health.

If you are unable to be fully vaccinated due to disability, medical condition, or religious belief, you will be required to apply for a reasonable accommodation within the first 10 days of your employment in order to remain employed with CVS Health. As a part of this process, you will be required to provide information or documentation about the reason you cannot be vaccinated. In some states and roles, you may be required to have an approved reasonable accommodation before you can begin to actively work. If your request for an accommodation is not approved, then your employment may be terminated.

Preferred Qualifications

• Demonstrates strong ability to communicate technical concepts and implications to business partners
• Anticipates and prevents problems and roadblocks before they occur
• 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

Education

• Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
• Master’s degree or PhD preferred