Lead Data Scientist
at CVS Health
New York, New York, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 27 May, 2024 | USD 267800 Annual | 01 Mar, 2024 | 7 year(s) or above | R,Python,Machine Learning,Predictive Modeling,Sas,Mathematics,Statistics,Sql,Computer Science,Physics,Economics,Languages,Business Analytics,Leadership Skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
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