Job Directory Data Scientist

Data Scientist
Boston, MA

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About

Job Description

Homesite Insurance was founded in 1997 and was one of the first companies to enable customers to purchase home insurance directly online, during a single visit. Since then, we've continued to innovate rapidly to meet the needs of our customers and their changing expectations.

One thing that's stayed the same since our founding: our commitment to our customers, partners and employees.

Join us on our journey as we continue to grow into a powerful contender in the field of insurance.

Homesite is an innovative national property and casualty insurance company with a fast-paced environment. We offer multiple products in partnership with large national brands. We seek a person possessing analytical rigor, a sense of data and mad coding skills to grow profits through development of state of the art pricing and product plans.

The primary role will be to:

* Use statistical and machine learning/deep learning techniques for clustering, dimensionality reduction and extracting latent attributes from unstructured and semi-structured data, as well as build supervised models as per business needs.
* Support predictive modeling projects that lead to new rating structures and underwriting programs.
* Work with fellow data scientists and developer team to translate models to business solutions and collaborate with other departments in the company when necessary.

Requirements:

* Master's degree or higher in Statistics, Machine Learning, Computer Science, Applied Mathematics, Physics or other quantitative discipline.
* Ability to extract, and clean data from a variety of structured and unstructured sources.
* Solid understanding of best practices in coding, data transformation, imputation, model selection, evaluation, and tuning.
* Proficiency in programming in Python, R and SQL. Knowledge of Go, Java or Scala is a plus.
* Knowledge of at least one deep learning frameworks is required.
* Knowledge of one version control system, preferably Git.

Experience with AWS is preferred.

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