Data Science Analyst
4 weeks ago
The Data Science Analyst will assist in developing and maintaining advanced analytics tools by utilizing machine learning and predictive analytics techniques. This role will result in pricing enhancement, early fraud detection, loss control efficiency, customer experience improvement, better broker selection, and better claims reserving.
Key Responsibilities
Collect, examine, and clean up large sets of data. Assist in developing linear predictive models, such as time series, generalized linear model (GLM), and generalized addictive model (GAM). Implement and maintain linear predictive and machine learning models. Assist in data collection of special projects and perform additional duties as required. Participate in special projects and perform additional duties as required.
Requirements
Bachelor's degree in data science, computer science, mathematics, engineering, or related subject required. Master's degree or above in data science preferred. Minimum of 2 years of data science work-related experience in data mining and machine learning required. Experience with insurance background preferred. Proficiency in R, Python, SQL, VBA, Tableau, and Power BI. Excellent verbal and written communication skills. Excellent adaptability on new technologies and programming skills. Ability to understand business needs and thrive to provide timely solutions. Forward thinking on artificial intelligence solutions and implementation.
The salary range for this role is $70,200-$128,100. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role, and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.
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