Lead Data Scientist

at  CVS Health

New York, New York, USA -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate27 May, 2024USD 267800 Annual01 Mar, 20247 year(s) or aboveR,Python,Machine Learning,Predictive Modeling,Sas,Mathematics,Statistics,Sql,Computer Science,Physics,Economics,Languages,Business Analytics,Leadership SkillsNoNo
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Description:

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

POSITION SUMMARY

  • Develops complex 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 complex business problems
  • Utilizing advanced statistical techniques and mathematical analyses and specialized expertise in the organization and/or industry
  • Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques
  • Manages 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
  • Collaborates with business partners to develop technical /business approaches and new or enhanced technical tools
  • Interacts 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

  • 7+ years of relevant analytic experience
  • Experience programming using R or Python
  • Experience in SAS or SQL

PREFERRED QUALIFICATIONS

  • Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas
  • Strong skills to effectively communicate and negotiate across business and in the external health care environment
  • Excellent analytical and problem-solving skills
  • Strong organizational, management and leadership skills
  • Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
  • Solid understanding of health care industry, products, and systems
  • Demonstrates a strong ability to communicate technical concepts and implications to business partners

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

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:7.0Max:12.0 year(s)

Hospital/Health Care

Software Engineering

Graduate

Mathematics statistics computer science business analytics economics physics engineering or related discipline

Proficient

1

New York, NY, USA