What are the responsibilities and job description for the Data Scientist (linear, logistic, propensity model) position at Marici Solutions?
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:
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Salary : $60 - $65
