Brooks Running is hiring a
Data Scientist

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Brooks Running

πŸ’΅ ~$150k-$180k
πŸ“Remote - United States, Worldwide

Summary

Join Brooks as the Senior Run Research Data Scientist to create and leverage novel scientific concepts and runner-driven product performance insights. You will use your advanced knowledge of analytical and statistical models to create and execute research aligned with brand initiatives, working cross-functionally to understand business challenges and translate complex data into actionable insights.

Responsibilities

  • Lead assigned data science initiatives from inception to deployment for projects combining a large variety of human performance and runner behavior data
  • Identify areas for business improvement and how to use data modeling to support strategies related to the run performance and experience
  • Work collaboratively with enterprise data and analytics teams to create and evolve self-service pipelines for data sources used by the Run Research Team
  • Lead and manage the accessibility of enterprise and self-service data, data applications, data cleaning and data optimization for Run Research Team members
  • Lead data preparation (cleaning and optimization) at scale including interfaces between Brooks and third-party systems to enable real time data preparation from a variety of data sources for further analysis
  • Lead the development and implementation of advanced analytical models and methodologies to solve complex problems across multiple data sources
  • Represent the Run Research Team, providing your point of view on key architectural and technical decisions as they apply to Run Research Data
  • Lead and manage collaborative initiatives with appropriate data owners across the company to deliver on data and analytics requirements within Run Research
  • Effectively translate research project findings and project status updates to Senior Level Executives (Director, VP, SVP)
  • Lead the integration of new data sources and the execution of research initiatives with external collaborators
  • Teach, train and present data science principles to other members of the Run Research Team
  • May manage up to 1 direct report, instilling in them the ability to challenge the status quo, think outside the box, and translate research findings and concepts into tangible and actionable product suggestions
  • Lead the creation of specialized development tools and coding to create product features, enhance and / or customize software components
  • Anticipate data quality concerns, creating data cleaning tools that will ensure data quality is held to the highest standards prior to analysis
  • Lead on-going run research data service delivery, including documentation and ownership of relevant change control requests including evaluation, test, implementation and verification
  • Perform root cause analysis to proactively resolve product and operational issues
  • Lead application testing (new support packages, releases, functionality, customization) in close cooperation with the data enterprise team
  • Proactively identify and integrate emerging trends in data science and machine learning to optimize our methodologies and technical capabilities

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