Role and Responsibilities.
As a Data Scientist, you will apply operations research and statistical models to solve core challenges of a company.
You will work closely with senior executives to drive data-driven decisions related to human-in-the-loop Operations, Revenue Operations, and Product Operations.
Build data infrastructure to measure individual user service level requirements and develop systems to intelligently route resources to meet those requirements.
Develop models that measure growth, seasonality, and absorption of our human in the loop operation (contingent/partner resources) to train AI models and deliver medical notes within company-set SLAs.
Forecast quarterly, and semi-annually the capacity needed, alongside ensuring team members fulfill scheduled shifts from a demand side. Build controls, processes, and systems to ensure SLAs are met to deliver a best-in-class service.
Analyze product data to identify problems and ideate product features and process enhancements. Work cross functionally to pioneer and drive your own ideas to execution.
Contribute to margin improvement and experimental efforts
Drive experimentation and launch new data-driven efforts
Work Cross functionally and with leaders to build centralized reporting infrastructure Eligibility
Experience as a Data Scientist in a technology company - 5 years of experience or educational equivalent
Degree in Data Science, Data Analytics, Statistical Analysis, or similar - bonus points for a Masters or PhD
Thrive in an independent work environment
Detail-oriented, leave nothing to chance
Achieve goals consistently and efficiently
Must be proficient with general reporting tools and languages. SQL is a must, and you also have experience with other tools etc like Excel, Python, R, Power BI etc
Night shift (8PM to 5.30 AM)