[Remote] Senior Data Scientist, Operations
Note: The job is a remote job and is open to candidates in USA. Function Health is the AI operating system for health, designed to empower people to live 100 healthy years. We are hiring a Senior Data Scientist, Operations to build the analytical and modeling foundation for our Member Experience and Contact Center operations.
Responsibilities
- Develop measurement frameworks and north star metrics and data structures that allow different parts of the company to facilitate decision-making
- Perform strategic and operational analyses to identify and prioritize product and business initiatives (e.g. analyses to uncover insights from member support and health testing data, improving user experiences)
- Develop models (heuristic, predictive, or ML) and data products that empower the business (e.g. customer support demand forecasting)
- Drive self-service to enable a data-driven organization through documentation, education, and training
- Ensure data quality, security, and compliance within all analytical frameworks
Skills
- Degree in Data Science, Biostatistics, Computer Science, or a relative quantitative field
- 5+ years of experience in data science or analytics at consumer or Enterprise tech companies
- Proficiency in Python, SQL, and data visualization tools
- Ability to communicate complex findings to non-technical stakeholders
- Experience using generative AI tools to accelerate project development
- Domain/data experience working with Operations (Customer experience measurement, Customer issue tracking/modeling, Demand forecasting)
- Experience with GCP (Google Cloud Platform) and Databricks
- Experience with customer support tools like Intercom, Zendesk, or similar
- Experience in healthcare analytics or bioinformatics
- Advanced expertise in machine learning, data visualization, and statistical analysis
- Background in healthcare data compliance (HIPAA) and privacy standards
Benefits
- Competitive salary and benefits package
- Flexible working hours
Company Overview
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