Overview
On Site
$60 - $65
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
R
Python
SAS
and Linear Regression
Logistic Regression
Propensity Score Modeling
Job Details
Position: Data Scientist
Location: New York, NJ, GA
Duration: Long Term
Must haves: Insurance Domain, Linear Regression, Logistic Regression, Propensity Score Modeling, Python, R, SAS
Required Skills & Experience:
- 10+ years of experience in data science, specifically within the insurance domain (e.g., health, life, P&C).
- Strong proficiency in linear regression, logistic regression, and propensity score modeling.
- Experience with tools such as Python, R, or SAS for data analysis and modeling.
- Solid understanding of statistical theory and its practical application in real-world problems.
- Familiarity with insurance business processes and KPIs is highly preferred.
- Strong communication and data storytelling skills.
Nice to Have:
- Experience working in regulated environments or with insurance compliance models.
- Background in customer analytics, risk modeling, or marketing analytics
Best Regards,
Rakesh Sharma
E-mail:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.