Data Scientist (Data Science)
Tasks
- Build data pipelines and automated workflows
- Build statistical forecasting models
- Collaborate with stakeholders on business requirements
- Communicate insights using visualizations and reports
- Derive features with MLOps
- Design and execute experiments
- Develop predictive machine learning models
- Evaluate model performance
- Extract insights from complex datasets
- Identify patterns, trends, anomalies
- Optimize algorithms for accuracy and efficiency
- Translate findings into actionable recommendations
- Validate hypotheses
Perks/Benefits
- N/A
Skills/Tech-stack
Data Analysis | Data Visualization | Database systems | ETL | Exploratory Data Analysis | Feature Engineering | Forecasting | Hypothesis Testing | MLOps | Machine Learning | Matplotlib | NumPy | Pandas | Plotly | PyTorch | Python | Regression Analysis | SQL | Scikit-learn | Seaborn | Series analysis | Statistical modeling | Tableau | TensorFlow | Time Series | Time Series Analysis
Education
Roles
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