Data Scientist (Hybrid on-site)
Tasks
- Apply statistical methods and exploratory data analysis
- Collaborate with engineering and data annotation teams
- Collect, clean, and preprocess datasets
- Create visualizations dashboards and reports
- Design and interpret A/B and multivariate tests
- Develop, train, and deploy machine learning models
- Ensure compliance with data governance privacy and security
- Maintain documentation for data transformations and models
- Research prototype and evaluate AI models
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AIML evaluation | AWS | B testing | Cloud platform | Computer Vision | Data Analysis | Data Governance | Data Pipelines | Data Privacy | Data Security | Data Visualization | Data Warehousing | ETL | Exploratory Data Analysis | Google Cloud | Google Cloud Platform | Hypothesis Testing | Language Processing | Machine Learning | Microsoft Azure | Multivariate Testing | Natural Language | Natural Language Processing | Predictive Modeling | PyTorch | Python | R | SQL | Scikit-learn | Statistical modeling | TensorFlow | Vertex AI
Education
Roles
Regions
Countries
States
Cities
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