Senior Data Analytics Specialist for Capacity Optimization
3 weeks ago
Key Responsibilities:
- Apply operations research and statistical models to solve core challenges of the company.
- 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 the 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.
Requirements:
- 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 Master's 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 like Excel, Python, R, etc.
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