Data Scientist (Machine Learning, Statistics)
Skills
- Applied statistics and experimentation design
- Evaluation system development for ML focusing on safety, quality, or real-world impact
- Experience designing and interpreting A/B, multivariate, and sequential experiments
- Proficiency in Python and data tools such as pandas, NumPy, and statsmodels
- Ability to translate complex data into intuitive visualizations and dashboards
Responsibilities
- Design and run experiments to measure model behavior, user experience, and product quality
- Define and track key performance metrics to guide iteration and inform strategic decisions
- Collaborate with ML researchers to evaluate fine-tuning and training results using robust statistical methods
- Build dashboards and tools to monitor product and model performance over time
- Define benchmarks and evaluation standards across the organization
- Design simple, intuitive UIs for non-technical users to explore and act on complex data
- Create interactive visualizations revealing key patterns from high-dimensional datasets
Education
- Degree in Statistics, Computer Science, Data Science, Mathematics, or related field
Benefits
- Diverse medical, dental, and vision insurance options
- 401(k) matching program
- Unlimited paid time off
- Parental leave and flexibility for parents and caregivers
- Support for country-specific visa needs for international employees
Average salary estimate
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