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.
Education and Experience:
- 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
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.
