Job Description
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.5 or more years of progressively complex related experience.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.Masters Degree in Statistics, Analytics, or a related field. Minimum 2 years of data science experience including collaborating with business partners to understand problems, gather business requirements, and design analytics solution frameworks. Previous experience must include working in SQL or HIVE to extract, manipulate and analyze large structured and unstructured data sets from multiple data sources; utilizing R and Python; building statistical and machine learning predictive models; working on segmentation projects using clustering techniques including K-means, Hierarchical clustering, and PAM; and utilizing mathematical analysis methods, study design, randomization, stratification, statistical analyses, and matching techniques; and performing report automation and visualization using programs including Tableau.
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.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.Masters Degree in Statistics, Analytics, or a related field. Minimum 2 years of data science experience including collaborating with business partners to understand problems, gather business requirements, and design analytics solution frameworks. Previous experience must include working in SQL or HIVE to extract, manipulate and analyze large structured and unstructured data sets from multiple data sources; utilizing R and Python; building statistical and machine learning predictive models; working on segmentation projects using clustering techniques including K-means, Hierarchical clustering, and PAM; and utilizing mathematical analysis methods, study design, randomization, stratification, statistical analyses, and matching techniques; and performing report automation and visualization using programs including Tableau.
Preferred Qualifications
Please review required qualifications above
Education
Master's degree
Business Overview
At CVS Health, 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 strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, sex/gender, sexual orientation, gender identity or expression, age, disability or protected veteran status or on any other basis or characteristic prohibited by applicable federal, state, or local law. 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.
