Analytics Engineer II
Tasks
- Conduct exploratory data analysis
- Create reports
- Create visualizations
- Define KPIs for analysis
- Deploy machine learning solutions
- Design data pipelines
- Develop predictive models
- Develop tools for data scientists
- Ensure data availability quality reliability
- Explore data
- Formulate data-driven hypotheses
- Gather large scale structured data
- Gather large scale unstructured data
- Implement MLOps best practices
- Implement predictive models
- Maintain data pipelines
- Mentor junior data scientists
- Preprocess data
- Present findings
- Stay current with machine learning best practices
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Azure | B testing | Clustering | Data Analysis | Experimental Design | Exploratory Data Analysis | Git | Hadoop | Hypothesis Testing | JavaScript | MLOps | Machine Learning | Matplotlib | NoSQL | Power BI | Predictive Modeling | Python | R | Regression | SQL | Seaborn | Series forecasting | Spark | Statistical Analysis | Tableau | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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