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Analytics, Data Science Advisor

at CVS Health

Posted: 2/14/2020
Job Reference #: 1210174BR
Keywords: management

Job Description

Job Description
As the Data Science Advisor, you will work on complex data science and machine learning projects across CVS Retail Pharmacy portfolio. You will prepare data for analysis, build machine learning and optimization models, work with data engineering teams to deploy them in production and explain model outcomes to business partners to make sure they get implemented.

Your core responsibilities will include:
1) Translated business problem into modeling approach taking into account business requirements, data availability, development time / complexity and ability to scale. Oversee all project management activities including communications within project teams, stakeholder management, leadership updates, etc.
2) Prepare data for the analysis, in particular work with data engineering team to create modeling dataset, assess completeness and quality of data and perform feature engineering;
3) Develop machine learning or optimization models taking into account latest development in research and tech community
4) Work with business partners to design implementation and measurement approach
In addition we expect you to contribute to the team data science agenda by evaluating emerging software tools, datasets, customizing algorithms to CVS use cases, participating in data science conference and events and mentoring and developing junior data scientists.

Required Qualifications
* 2-5 years of experience within advanced analytics function of a corporation, tech startup or a consulting firm
* Deep expertise in modern machine learning and artificial intelligence techniques
* Expert level proficiency with common modeling tools and frameworks, e.g. Python, R, Scala, TensorFlow, etc.
* Good written and oral communication and data presentation skills, with ability to tailor the communication style to the right audience, from the analytic professional to the senior business leaders.
* Excellent project management skills with ability to lead and engage in multiple projects and initiatives and appropriately prioritize her/his own time as well as that of the direct reports.

Preferred Qualifications
Understanding of data management and model productionalization best practices, ability to write scalable, production level code

Knowledge of the healthcare landscape including patient and payer concerns, as well as the operational considerations in support of the business objectives and analytics experience within the retail and/or healthcare industries is highly preferred.

Education
Bachelor’s degree in Economics, Statistics, Mathematics, Computer Science, Engineering or related field required.

Master’s degree or other Advanced degree strongly preferred.

CVS will sponsor for this position

Business Overview
It’s a new day in health care.

Combining CVS Health and Aetna was a transformative moment for our company and our industry, establishing CVS Health as the nation’s premier health innovation company. Through our health services, insurance plans and community pharmacists, we’re pioneering a bold new approach to total health. As a CVS Health colleague, you’ll 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.

CVS Health is an equal opportunity/affirmative action employer. Gender/Ethnicity/Disability/Protected Veteran - we highly value and are committed to all forms of diversity in the workplace. 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. We comply with the laws and regulations set forth in the following EEO is the Law Poster: EEO IS THE LAW and EEO IS THE LAW SUPPLEMENT. We provide reasonable accommodations to qualified individuals with disabilities. If you require assistance to apply for this job, please contact our Advice and Counsel Reasonable Accommodations team. Please note that we only accept applications for employment via this site.

If technical issues are preventing you from applying to a position, contact Kenexa Helpdesk at 1-855-338-5609 or cvshealthsupport@us.ibm.com. For technical issues with the Virtual Job Tryout assessment, contact the Shaker Help Desk at 1-877-987-5352.

Application Instructions

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