16 days old

Data Scientist Full-Time Student Opportunity (Graduate & PhD)

CVS Caremark
Woonsocket, RI 02895
  • Jobs Rated
    7th
**Job Description**

Data Scientist Full-Time Student Opportunity (Graduate & PhD)


Start Date: June or August 2020

Primary Work Location: Northbrook, IL or Woonsocket, RI


CVS Health is the nation's premier health innovation company helping people on their path to better health. We are building a new health care model that is easier to use, less expensive, and puts the consumer at the center of their care.


Are you passionate about data AND helping patients improve their health? Consider the position of Data Scientist, where your experience in advanced analytics and modeling will directly inform how CVS Health helps patients on their path to better health.


Who we are:

The newly established Machine Learning and Data Science team is an interdisciplinary team of Data Scientists that partners with business groups across CVS to ideate, develop, and deploy analytic models and solutions that leverage advanced machine learning and analytics methodologies.


What this business area supports:

As a key member of the Enterprise Analytics team, you will work with a variety of business partners from across the enterprise to both support the development of innovative programs to improve patient outcomes as well as reduce cost and improve efficiency across CVS Health.


What you will do:

Develop machine learning and other advanced models that drive business outcomes across CVS

Consult with key internal and external stakeholders to determine how best to leverage machine learning and advanced analytic methods to support business objectives across CVS Health

Apply appropriate modeling approaches for a given analytic problem (machine learning methods such as ensemble models, decision trees; operations research; statistical modeling such as multivariate techniques)

Implement models in a variety of modeling tools, achieving highly accurate models

Understand underlying statistical concepts and computational approaches that enable efficient execution of models and may be able to design and implement modifications and enhancements to the computations

Develop sound analytic plans based on available data sources, business partner needs, and required timelines

Apply innovative approaches to understand and predict what will happen across the business

Manage deliverables across multiple projects in a deadline-driven environment and project related to a wide variety of business settings and clinical needs

Present analytic findings in a variety of formats (reports, PPT, graphs, figures and tables), formulating recommendations, and effectively presenting the results to non-analytic audiences


**Required Qualifications**

3+ years experience in constructing, validating, and executing machine learning solutions

Advanced skills and training in machine learning in areas such as: Random Forest, Decision Trees, Neural Networks, Ensemble Models, Operations Research, Generalized Linear Models, Stochastic Modeling and Multivariate Analysis

Experience in translating business problems across disciplines into advanced analytic projects with measurable business value

Experience with theoretical modeling approaches and matching analytic modeling approaches to a wide range of business applications

Analytics experience within the retail and/or financial services, with experience deploying capabilities across a wide range of business disciplines

Demonstrate effective project management and time management skills

A strong curiosity to explore and uncover hidden relationships in data, and a proactive desire to translate findings into actionable business insights

Fluent and recent hands-on experiences in R, Python, SAS, etc. Experience with computer development languages (Java, C++)

Educational background may serve as a substitute for part or all of the length of relevant employment requirement


**Preferred Qualifications**

Familiarity with navigating in both a relational (Teradata-based) and non-relational (Hadoop) environment

Recent hands-on experience with finance modeling, pricing elasticity, optimization, and value at risk (VaR) is strongly preferred


**Education**

Currently pursuing a Masters degree with an anticipated graduation date between December 2019 and June 2020

Preferred/relevant majors in Statistics, Computer Science, Mathematics, Economics, or directly related field

3.3+ cumulative GPA


**Business Overview**

**Its 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 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.


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 at https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf and EEO IS THE LAW SUPPLEMENT at https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm . 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 at mailto:AdviceCounsel@cvshealth.com . 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.

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Jobs Rated Reports for Data Scientist

Posted: 2019-10-03 Expires: 2019-11-13

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Data Scientist Full-Time Student Opportunity (Graduate & PhD)

CVS Caremark
Woonsocket, RI 02895

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