Data Scientist (Hybrid on-site)
Tasks
- Analyze data with exploratory data analysis
- Collaborate with engineering and data annotation teams
- Collect, clean, preprocess datasets
- Create dashboards and reports
- Design A/B multivariate tests
- Develop predictive machine learning models
- Ensure data governance, privacy, and security
- Generate and evaluate AI models
- Maintain documentation for data and models
- Research prototype and evaluate LLMs and LVMs
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Computer Vision | Data Governance | Data Privacy | Data Security | Data Visualization | ETL | Language Models | Language Processing | Large Language Models | Large Vision Models | Machine Learning | Multivariate Testing | Natural Language | Natural Language Processing | PyTorch | Python | R | SQL | Scikit-learn | TensorFlow | Vision Models
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
Cities
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