Data Scientist (Data Science)
Tasks
- Build data pipelines and automated workflows
- Build forecasting models
- Collaborate with stakeholders on business requirements
- Communicate technical concepts to non-technical stakeholders
- Create reports presentations and visualizations
- Define analytical project priorities
- Design and execute experiments
- Develop predictive models
- Evaluate data science and machine learning techniques
- Extract insights from complex datasets
- Identify patterns, trends and anomalies
- Translate findings into recommendations
- Validate hypotheses and optimize models
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Data Analysis | Data Visualization | Data pipeline | ETL | Experimentation | Exploratory Data Analysis | Feature Engineering | Hypothesis Testing | MLOps | Machine Learning | Matplotlib | NoSQL | NumPy | Pandas | Plotly | PyTorch | Python | Regression Analysis | SQL | Scikit-learn | Seaborn | Series forecasting | Statistical modeling | Tableau | TensorFlow | Time Series | Time Series Forecasting
Education
Roles
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