AIML - Data Scientist, Evaluation
Tasks
- Analyze large complex datasets
- Build and prototype analysis pipelines
- Collaborate with experimentation engineering teams
- Conduct data collection and quality control
- Develop product metrics and data structures knowledge
- Partner with product engineering on machine learning algorithms
- Perform experiment design and interpretation
- Research evaluation methods
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Causal Inference | Data Analysis | Data Quality | Data quality control | Experimentation | Language Models | Large Language Models | Machine Learning | Prompt engineering | Python | Quality Control | R | SQL | Scala | Statistics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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