Data Scientist (US Value & Access Insights)
Tasks
- Apply statistical and data mining techniques
- Automate workflows with AI capabilities
- Build analytics solutions
- Collaborate on AI tool roadmap
- Conduct hypothesis testing
- Develop and deploy machine learning models
- Develop and run analytics experiments
- Develop intelligent dashboards
- Ensure SLA compliance
- Implement MLOps pipelines
- Manage execution of proprietary AI engine
- Perform exploratory data analysis
- Solve development and commercial questions
- Train models with latest data
- Translate business needs into technical specifications
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Azure | CI/CD | Classification | Clustering | Data Analysis | Data Engineering | Data Mining | Databricks | DevOps | Docker | Exploratory Data Analysis | Forecasting | Google Cloud | Hypothesis Testing | Kubeflow | Kubernetes | Language Processing | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | PyTorch | Python | R | Regression Analysis | Scikit-learn | Sentiment Analysis | Series analysis | Statistical Analysis | TensorFlow | Time Series | Time Series Analysis
Education
Roles
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