Staff Data Scientist, SPAN

• Bachelor’s degree or higher in Computer Science, Mathematics, Engineering, or a closely related field
• 2+ years of professional experience with developing and implementing machine learning models to production
• Deep understanding of machine learning algorithms for time series data forecasting
• Advanced Python skills, as well as familiarity with pandas and scikit-learn
• Software design experience and ability to write clean, maintainable, and shippable production code
• Experience working with SQL and data visualization tools
• Extensive data modeling and data architecture skills
• Knowledge and experience working within cloud computing environments such as AWS
• Strong communication and interpersonal skills
• Ability to understand and explain complex problems simply and effectively

Desirable

• Lead the development of ML algorithms from the ground up which includes:
• Gain knowledge in the relevant domain (e.g. energy consumption pattern of homes)
• Feature engineering
• Prototype new algorithms
• Benchmark performance across large-scale datasets
• Use your experience with different machine learning frameworks to identify suitable tools for integration in SPAN’s software platform
• Integrate developed algorithms in our production code base with robust test coverage
• Work with the firmware and software teams to design Span’s edge model deployment framework; pick which ML framework SPAN should adopt
• Proactively identify opportunities within Span that can benefit from data science analysis
• Use fleet data to monitor algorithms in the field