Senior Data Scientist Manager

November 5

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Allstate

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Auto Insurance • Life Insurance • Retirement Planning • Homeowners Insurance • Motorcycle Insurance

10,000+

💰 Post-IPO Equity on 2014-01

Description

• Founded by The Allstate Corporation in 2016, Arity is a fully remote data and analytics company focused on improving transportation. • We collect and analyze enormous amounts of data, using predictive analytics to build solutions with a single goal in mind: to make transportation smarter, safer and more useful for everyone. • At the heart of that mission are the people that work here—the dreamers, doers, and difference-makers that call this place home. • We are looking for a Sr. Manager to lead R&D teams in developing the world’s leading driver behavior detection algorithms from smartphone sensor data to be deployed through the Arity SDK to offer services to millions of users and fuel all of Arity’s data products. • The ideal candidate is results oriented and has a proven track record of leading greenfield machine learning research from design through iterative development to implementation in production. • You will lead multiple teams of diverse and talented data scientists, setting priorities, advising on methodology, ensuring consistent progress is made toward goals, and managing relationships with key Product and Engineering stakeholders to ensure successful deployment of models on the edge. • You will be responsible for team member recruitment, selection, and people management, and you will play an active role in team and department strategy development.

Requirements

• Bachelor’s degree in a quantitative field such as statistics, mathematics, computer science, finance, or economics • 7 or more years of professional experience • Proven track record of delivering results, leading teams in the development and deployment of machine learning models to production to solve business and technical problems • Demonstrated experience in with large, complex datasets and machine learning methodologies • Familiarity with commonly used data science tools and libraries in Python, R, Java, Scala, C • Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise • Ability to manage a wide range of loosely defined moderate to complex situations, which require application of creativity and originality, where guidance and counsel may be unavailable • Ability to lead and develop teams of various skills levels • Master’s or PhD in a quantitative field such as statistics, mathematics, computer science, finance, or economics (Preferred) • 10 or more years of professional experience (Preferred) • Experience with using sensor/IoT time series data to interpret physical processes using signal processing and machine learning (Preferred) • Familiarity with deploying machine learning models to the edge with commonly used frameworks such as TensorFlow Lite, PyTorch Mobile, CoreML (Preferred)