Sr. Principal Data Scientist
Tasks
- Analyze complex structured and unstructured data
- Apply scientific methodology statistics and algorithms
- Automate data processing and integration
- Build data visualizations using Tableau and Power BI
- Clean massage and organize data
- Communicate insights to non-technical audiences
- Coordinate research and analytics activities
- Coordinate with data engineers to build data environments
- Design data pipelines
- Develop algorithms to solve complex problems
- Develop natural language processing solutions
- Develop predictive and prescriptive models
- Develop text mining solutions
- Perform clustering and forecasting
- Plan execute and manage machine learning projects
- Process large scale data with Spark and Hadoop
- Program in Python and R for analytics
Perks/Benefits
- N/A
Skills/Tech-stack
Agile Development | C++ | Cloud Native | Cloud Pak | Cloudera | Clustering | Data Analysis | Data Engineering | Data Mining | Data Visualization | Databricks | Exploratory Data Analysis | Forecasting | Git | Hadoop | IBM Cloud | IBM Cloud Pak | Java | Language Processing | Machine Learning | Microsoft Power | Microsoft Power BI | Natural Language | Natural Language Processing | NoSQL | NumPy | Pandas | Power BI | Predictive Modeling | Prescriptive Modeling | Process Automation | Python | R | R Shiny | Robotic Process | Robotic Process Automation | SQL | SciPy | Snowflake | Spark | Statistical modeling | Tableau | Text Mining
Education
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