Director I, Data Science (STP)

Liberty Mutual Insurance•Seattle, WA

1d•Remote

About The Position

Applies broad knowledge of sophisticated analytics techniques to manipulate large structured and/or unstructured data sets in order to generate insights to inform business decisions. Identifies new strategic opportunities for use of theoretical methods and tools. Applies forward looking thinking to inform methodological advancement. Drives innovations in the application and development of tools and practices. Identifies and tests hypotheses, ensuring statistical significance, and builds predictive models for business application. Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. Enables the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. Responsible for larger components of highly complex projects. Guides aspects of project design as a technical consultant for the team. Customizes analytic solutions to specific client needs. Regularly engages with the data science community, may lead cross functional working groups. Collaborates directly with other US Data Science teams including Complex Components, Demand and Decision Science, and Modeling Sophistication; Telecommuting permitted up to 100%.

Requirements

Bachelor's degree (or foreign equivalent) in Mathematics, Computer Science, Data Science, Applied Science, Technology Management or similar quantitative field
5 years of experience in the job offered or in a Director I, Data Science-related occupation
Demonstrated strong analytical skills
Demonstrated advanced knowledge of predictive analytic techniques
Demonstrated expert skills in Excel
Demonstrated expert skills in at least one statistical software package amongst SAS, R, Python, or Emblem
Demonstrated ability to connect analytical design and results to business needs
Demonstrated ability to effectively communicate and collaborate with both technical and non-technical internal business partners
Demonstrated ability to work independently and lead complex analytical workstreams

Responsibilities

manipulate large structured and/or unstructured data sets in order to generate insights to inform business decisions
Identifies new strategic opportunities for use of theoretical methods and tools
Applies forward looking thinking to inform methodological advancement
Drives innovations in the application and development of tools and practices
Identifies and tests hypotheses, ensuring statistical significance, and builds predictive models for business application
Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data
Enables the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes
Responsible for larger components of highly complex projects
Guides aspects of project design as a technical consultant for the team
Customizes analytic solutions to specific client needs
Regularly engages with the data science community, may lead cross functional working groups
Collaborates directly with other US Data Science teams including Complex Components, Demand and Decision Science, and Modeling Sophistication