Data Science - Analyst 3
Tasks
- Build success metrics and segmentation frameworks
- Design measurement frameworks and experimentation methodologies
- Develop analytical approaches using statistical and machine learning
- Drive thought leadership in analytics methodologies and tooling
- Lead A B testing and quasi experimental analysis
- Own end to end analytics strategy for product domains
- Prototype predictive models for product insights
- Translate complex data into actionable recommendations
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Data Modeling | Ensemble learning | Experimental Methods | Language Models | Large Language Models | Machine Learning | PyTorch | Python | Quasi Experimental | Quasi-experimental methods | R | SQL | Statistics | Tableau | TensorFlow | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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