Qualifications

• 5+ years of overall experience; 2-4 years specifically in Data Science.
• Expertise in statistical modeling and machine learning techniques.
• Proficiency in data analysis, data wrangling, and software development.
• Strong skills in A/B testing and back testing methodologies.
• Advanced knowledge of Python and R programming languages.
• Experience with analytics models like Gradient Boosting, Decision Trees, and Regression.
• Familiarity with the insurance sector, particularly consumer or retail insurance, is advantageous.

Responsibilities

• Lead and enhance client programs in data science initiatives.
• Perform statistical modeling to derive insights from complex data sets.
• Conduct data analysis and develop robust analytical models.
• Execute A/B testing to validate hypotheses and improve models.
• Utilize advanced programming in Python and R for model development.
• Implement best practices in data wrangling and cleaning.
• Identify and apply the most effective analytics methods for diverse problems.

Benefits

• Full-time position with direct hire opportunity.
• Opportunity to work in a collaborative and innovative environment.
• Engagement with cutting-edge data science projects.
• Potential for professional growth within the insurance industry.