Remote Data Scientist

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