Senior Data Scientist
Tasks
- Apply natural language processing
- Clean massage and organize data
- Communicate results to non-technical audiences
- Coordinate research and analytic activities
- Coordinate with data engineers to build data environments
- Create data visualizations
- Deliver technical training
- Design and automate data processing workflows
- Design and maintain data pipelines
- Develop predictive and prescriptive models
- Experiment on data to generate insights
- Integrate and manage structured and unstructured data
- Interpret and analyze complex data
- Perform clustering and forecasting
- Plan execute and manage machine learning projects
- Research, design, and implement algorithms
- Travel to deliver technical training
- Use Python and R for modeling and analysis
- Use Spark and Hadoop for large-scale processing
Perks/Benefits
Skills/Tech-stack
Agile | Cloud Pak | Cloudera | Clustering | Data Analysis | Data Cleansing | Data Mining | Data Visualization | Data integration | Databricks | Distributed Systems | Exploratory Data Analysis | Forecasting | Git | Hadoop | IBM Cloud | IBM Cloud Pak | Language Processing | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Power BI | Predictive Modeling | Prescriptive Modeling | Python | R | R Shiny | SQL | SciPy | Snowflake | Spark | Statistical modeling | Structured data | Tableau | Text Mining | Unstructured Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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