Responsibilities

• Build and maintain the candidate screening model working with cognitive science partners and proprietary data
• Design matching algorithms to pair workers with appropriate shifts considering factors such as skills, location, transportation, weather, and more
• Work closely with the talent team to predict WorkWhile’s future hourly hiring needs
• Work cross-functionally to develop WorkWhile’s data practice and standards
• Design, build, and run experiments
• Audit algorithms and models for bias and recommend solutions
• Apply statistical and machine learning techniques to identify trends in data


About you


• 5+ years experience in statistics, data science or machine learning preferred
• Self-starter able to drive projects to completion who is excited to be on a startup’s founding team
• Practical knowledge of Python 
• Extensive knowledge of programming best practices
• Solid foundation in machine learning models, processes, and theories, with the ability to evaluate different algorithmic approaches
• Working knowledge of statistics and probability (statistical inference, Bayesian statistics)
• Comfort with SQL
• Interest in issues of transparency and fairness in AI
• Able to communicate with data and work across teams
• Knowledge of cognitive science / neuroscience research a plus
• Committed to improving the lives of low-wage workers