Data Scientist
Tasks
- Analyze structured and unstructured data
- Build deep learning architectures
- Build regression classification and clustering models
- Build supervised and unsupervised learning pipelines
- Collaborate with client stakeholders
- Communicate insights to delivery team
- Create SQL queries for data extraction
- Deploy production grade AI models
- Design machine learning models
- Develop natural language processing solutions
- Develop scalable model deployment solutions
- Follow industry best practices for model development
- Perform time series and graph analysis
- Prepare client-ready deliverables
Perks/Benefits
Skills/Tech-stack
Classification | Clustering | Data Mining | Databricks | Deep learning | Graph Analysis | Language Processing | Machine Learning | Matplotlib | Model Deployment | Natural Language | Natural Language Processing | NumPy | Pandas | Python | Regression | SQL | Scikit-learn | Seaborn | Series analysis | StatsModels | Supervised Learning | Text Mining | Time Series | Time Series Analysis | Transformers | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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