Data Scientist - Enterprise Functions
Tasks
- Automate dashboards and analyses
- Build data workflows
- Build machine learning models
- Clean and prepare data
- Collaborate with stakeholders to deliver results
- Conduct data mining
- Create polished data deliverables
- Deliver advanced analytics projects
- Design data models for undefined problems
- Develop statistical models
- Explain models to business teams
- Follow coding and software development lifecycle
- Interpret business requirements
- Partner with Data Engineering on pipelines
- Perform exploratory data analysis
- Present insights in understandable formats
- Select and evaluate machine learning algorithms
- Set up cloud data extraction for analysis
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Alteryx | Apache Spark | Azure | B testing | Causal Inference | DVC | Docker | Feature Engineering | GCP | Hadoop | Hypothesis Testing | KNIME | MLOps | MLflow | Machine Learning | Microsoft SQL | Microsoft SQL Server | Model Evaluation | MongoDB | MySQL | Pandas | Power BI | PyTorch | Python | R | SQL | SQL Server | Scikit-learn | Statistical modeling | Tableau | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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