Senior Data Science Analyst

$78,700 - $145,500/Yr

Unclassified - New York, NY

posted 4 months ago

Full-time - Mid Level
New York, NY

About the position

The Senior Data Science Analyst at GNY Insurance Companies is responsible for developing and maintaining advanced analytics tools using machine learning and predictive analytics techniques. This role aims to enhance pricing, detect fraud early, improve loss control efficiency, enhance customer experience, optimize broker selection, and refine claims reserving processes.

Responsibilities

  • Collect, examine, and clean up large sets of data.
  • Develop linear predictive models, such as time series, generalized linear model (GLM), and generalized addictive model (GAM) with minimum guidance.
  • Develop machine learning models, such as gradient boosting machine (GBM), XGBoost, natural language processing (NLP), neural network, and random forest with minimum guidance.
  • Implement and maintain linear predictive and machine learning models.
  • Assist in analytics of special projects and perform additional duties as required, such as geospatial analysis on aerial imagery and generative AI application.
  • Conduct visualization solutions for monitoring model results and managing portfolio performance.
  • 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 4 years of data science work related experience in data mining and machine learning required.
  • Experience with insurance background preferred.
  • Proficiency in predictive modeling algorithms and machine learning techniques.
  • Proficiency in manipulating big structured and unstructured data from various sources.
  • Proficiency in R, Python, SQL, VBA, Tableau, and Power BI.
  • Excellent verbal and written communication skills.
  • Excellent adaptability on new technologies and programming skills.
  • Good understanding of business needs and thrive to provide timely solutions.
  • Forward thinking on artificial intelligence solution and implementation.

Nice-to-haves

  • Experience with insurance background preferred.

Benefits

  • Eligibility for an annual discretionary bonus based on performance.
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