What are the responsibilities and job description for the Applied Machine Learning Scientist position at CSS Payroll Co, L.P.?
Applied Machine Learning Scientist - (employer: CSS Payroll Co, L.P.; job location: Los Angeles, CA) - Estimate and forecast food-delivery supply and demand. Investigate and formulate machine learning approaches to address business problems related, but not limited, to optimizing business operations and maximizing sales revenues. Research, design and implement innovative machine learning techniques that are tailored to the previously mentioned business requirements. Write production-quality code and build end-to-end machine learning pipelines, with data quality monitoring and alerting in order to create tables and views used across a real estate organization. Use modeling, simulation, and optimization to design new processes, algorithms, and prediction/classification systems, or improve the performance of existing products. Lead project level data acquisition and validation. Serve machine learning predictions in real time. Requirements: Master’s Degree in Economics or Engineering (Computer or Electrical), plus 2 years of experience in the position offered or in a Data Scientist position. All required experience must have included: estimating restaurant success with exploratory data analysis; writing scholarly white papers and reports documenting scientific findings related to new business insights; providing useful charts and figures related to the food delivery business and restaurant success; writing efficient SQL queries in Trino in support of research and data analysis as well as statistical modeling; and effectively communicating updates and technical results to the data science team, the cross-functional teams, and the non-technical decision makers. Telecommuting is permitted from any location in the U.S. Salary: $136,500/year. E-mail resume to: Catarino Ruiz, catarino.ruiz@cloudkitchens.com
Salary : $136,500 - $0
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