Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
About the role
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Leverage a broad stack of technologies — Python, Conda, AWS, Spark, Kubeflow Pipelines, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
Requirements
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
- Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
- PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of industry experience in data science, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- At least 1 year of experience working with AWS
- At least 3 years’ experience in Python
- At least 3 years’ experience with building machine learning models, with at least one year of experience with building GBM models
- At least 3 years’ experience with SQL
Benefits
- comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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