Job Role: 

As a Data Scientist, he/she will be accountable for data gathering and analysis of capacity forecasts, experiment results, and optimization of demand profiles.

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