CVS Health

New York, New York, United States

Lead Data Scientist

Posted over 1 month ago

Job Description

Job Description
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.

As a Lead Data Analyst, you will:
- Manage and be responsible for the successful delivery of the algorithms, statistical models and reporting tools to meet business needs.
- Act as the analytic team lead for large and complex projects involving multiple resources and tasks, providing individual mentoring in support of company objectives.
- Develop complex algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
- Perform analyses of structured and unstructured data to solve multiple and complex business problems. utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the organization and/or industry.
- Apply analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques.
- Manage large and complex analytical projects from data exploration, model building, performance evaluation and testing.
- Behaves as mentor to junior team members to provide technical advice.
- Collaborate with business partners to develop technical/business approaches and new or enhanced technical tools.
- Interact with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions.

Required Qualifications
- 5+ years of related experience as a Data Scientist
- 5+ years of programming and technical experience
- 5+ years of client experience; communicating technical concepts and implications to business partners
- 1+ year experience working with healthcare data and the understanding of the healthcare business
- 4+ years experience strategy consulting or on strategy teams in large companies
- 2+ years of people management experience
- 3 years experience programming using R, Hadoop, or Python

Preferred Qualifications
- 4+ years of business experience leading analyses and initiatives with track record of business impact
- Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
- Anticipates and prevents problems and roadblocks before they occur.
- Healthcare sector experience preferred
- A real passion for ML and experimental design
- A real passion for patients
- Excellent analytical and problem solving skills.
- Demonstrated proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas
- Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
- Strong skills to effectively communicate and negotiate across the business and in the external health care environment
- Strong organizational, management and leadership skills

Education
- Bachelor degree in quantitative field, or an equivalent combination of formal education and experience.
- Master's degree in quantitative field or MBA strongly preferred.

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.

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