Senior Data Scientist

Munich Reinsurance America
Hartford, CT, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Big Data Cloud Computing Data Mining R (Programming Language) Python (Programming Language) Linux System Administration Machine Learning Tensorflow Scala (Programming Language) SQL Databases
+8 more
Unstructured Data Feature Engineering Pytorch Deep Learning Keras Git Information Technology Software Version Control

Job description

In this position, you will work independently on data science projects of any scale and you will be empowered to make methodological decisions within the scope of a given project.

Act as a mentor to more junior data scientists and is empowered to assign them specific project tasks with clear scope.

Work on a portfolio of projects simultaneously and are expected to adequately manage their own time to meet client expectations.

Regularly interface with other divisions and groups within HSB and have a thorough understanding of their business strategies and goals.

Requirements

  • Master’s degree in a Statistics, Computer Science, Engineering, Mathematics or related field is required
  • PhD in qualitative discipline is preferred
  • 4+ years’ experience predictive analytics, data mining or statistical analysis in the insurance industry or 6+ years predictive analytics, data mining or statistical analysis in other industry
  • Experience in feature engineering on structured and unstructured data
  • Experience with Git or similar tool for version control
  • Experience working with big-data technology on Linux-based systems.
  • Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.)
  • Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus

Knowledge and Skills:

  • Hands-on experience in Python, R, SQL, Scala
  • Exposure to cloud computing (Azure, AWS, etc.)
  • Solid foundation in statistics and machine learning models, processes, and theories, with the ability to evaluate different algorithmic approaches
  • Ability to write production-ready code

About the company

At The Hartford Steam Boiler, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.

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