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Mid LevelFull-timePythonRustAWSData ScienceAI
Salary Range
$68,000 - $92,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We’re seeking a Support Data Scientist to join OpenAI’s User Operations team. This role focuses on transforming user-support data into actionable insights and real-time reporting. You’ll design and maintain self-serve dashboards, partnering with Data Science and Engineering teams to ensure clean data pipelines and scalable tooling.
Key Responsibilities
- →Explore large support and product datasets to uncover trends and user-experience pain points
- →Build and maintain self-serve dashboards and reporting tools for non-technical teams
- →Establish a unified metrics taxonomy for service-health and performance
- →Leverage LLMs to build classifiers that automatically label and segment inbound volumes
- →Partner with Data Engineering to ensure reliable pipelines and implement data-quality checks
- →Conduct deep-dive analyses for high-priority special projects
- →Prototype quickly using tools like ChatGPT, Jupyter notebooks, and Retool
- →Collaborate with Data Science on predictive models and experimentation
Requirements
- ✓8+ years in analytics, business intelligence, or data science
- ✓Expert-level SQL skills and proficiency in Python or R
- ✓Experience designing and maintaining BI dashboards (Looker, Mode, Tableau, etc.)
- ✓Experience fine-tuning or prompt-engineering LLMs to build text classifiers
- ✓Ability to translate complex datasets into clear business stories
- ✓Familiarity with support metrics (SLAs, FCR, deflection)
- ✓Strong cross-functional communication skills
- ✓Bias for automation and data governance
- ✓Summary Bullets
- ✓Transform user-support data into actionable insights and real-time reporting
- ✓Design and maintain self-serve dashboards for stakeholders
- ✓Leverage LLMs to build classifiers for smarter routing and insights
- ✓Ensure reliable data pipelines and implement data-quality checks
- ✓Conduct deep-dive analyses for strategic recommendations
- ✓Prototype quickly using modern tools
- ✓Collaborate with Data Science on predictive models
- ✓Requirement Bullets
- ✓8+ years in analytics, business intelligence, or data science
- ✓Expert-level SQL skills and proficiency in Python or R
- ✓Experience with BI dashboards (Looker, Mode, Tableau, etc.)
- ✓Experience with LLMs for text classification
- ✓Ability to translate complex datasets into business stories
- ✓Familiarity with support metrics (SLAs, FCR, deflection)
- ✓Strong cross-functional communication skills
- ✓Benefit Bullets
- ✓[]
