Senior Principal Data Scientist
Tasks
- Apply scientific methodology
- Build data environments
- Clean and organize data
- Communicate insights to non-technical audience
- Coordinate research and analytics
- Coordinate with data engineers
- Create data visualizations
- Design and automate data processing
- Develop clustering models
- Develop forecasting models
- Develop natural language processing models
- Develop predictive modeling
- Develop prescriptive modeling
- Develop text mining models
- Instruct others on data science practices
- Integrate data across datasets
- Interpret and analyze data
- Process large scale data with Spark and Hadoop
- Program in Python and R
- Research and implement algorithms
- Use cloud data science platforms
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | C++ | Cloudera | Clustering | Data Analysis | Data Mining | Data Visualization | Databricks | Exploratory Data Analysis | Forecasting | Git | Hadoop | Java | Language Processing | Machine Learning | Microsoft Power | Microsoft Power BI | Natural Language | Natural Language Processing | NumPy | Pandas | Power BI | Process Automation | Python | R | R Shiny | Robotic Process | Robotic Process Automation | SQL | SciPy | Snowflake | Spark | Tableau | Text Mining
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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