Data Scientist
Tasks
- Analyze data for patterns and trends
- Collaborate with data engineering and business teams
- Communicate issue impacts and resolutions
- Create and support enterprise data and application infrastructure
- Define data flows and business processes
- Define relationships and transition processes for technology implementation
- Develop and support AI ML automation solutions
- Monitor and support production models
- Perform descriptive predictive and prescriptive analytics
- Support and support business inquiries and support groups
Perks/Benefits
- 401k plan
- Adoption benefits
- Career development
- Dental benefits
- Disability benefits
- Employee assistance program
- Employee discounts
- Flexible spending accounts
- Health savings account
- Incentive bonus
- Life insurance
- Medical benefits
- Paid time off
- Parental leave
- Tuition reimbursement
- Vision benefits
- Voluntary benefits
Skills/Tech-stack
APIs | AWS | Azure | Big Data | Business statistics | Cloud Computing | Dash | Data Analysis | Data Management | Data Visualization | Data Wrangling | Deep learning | Docker | ELK Stack | Elastic Search | Feature Engineering | Gradio | Kubernetes | Kusto | Language Processing | MLOps | MLflow | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Open3D | Power BI | Programming (Python | PySpark | PyTorch | Requirements Analysis | SQL | Scikit-learn | Statistical modeling | Streamlit | TensorFlow
Education
Roles
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