Senior Data Scientist
Tasks
- Apply scientific methodology statistics and algorithms
- Communicate results to non-technical audiences
- Coordinate research and analytic activities
- Coordinate with data engineers to build data environments
- Design and automate data manipulation processes
- Design, implement, and maintain data pipelines
- Develop natural language processing solutions
- Develop predictive and prescriptive models
- Develop text mining and clustering models
- Experiment against data and derive solutions
- Forecast using statistical methods
- Gather insights from complex data
- Integrate and manage structured and unstructured data
- Interpret analyze complex data sets
- Perform large scale data processing with distributed frameworks
- Perform statistical modeling and create data visualizations
- Plan execute and manage machine learning projects
- Program using Python and R
- Research, design, and implement algorithms
- Use cloud data platforms for data management and ML
Perks/Benefits
Skills/Tech-stack
Agile | Cloud Pak | Cloudera | Clustering | Data Visualization | Data pipeline | Databricks | 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 | Tableau | Text Mining
Education
Roles
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