Senior Data Scientist
Tasks
- Apply scientific methodology statistics and algorithms
- Build data visualizations
- Clean and organize structured and unstructured data
- Communicate insights to non-technical audiences
- Coordinate research and analytic activities
- Coordinate with Data Engineers on data environments
- Design and automate data processing
- Develop natural language processing solutions
- Develop predictive models
- Develop prescriptive models
- Experiment and evaluate results
- Instruct others on data science practices
- Integrate data across datasets
- Interpret and analyze data using exploratory statistics
- Perform clustering
- Perform forecasting
- Perform text mining and processing
- Research, design, and implement algorithms
- Use Spark and Hadoop for large-scale processing
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | C++ | Cloud | Cloud Pak | Cloudera | Clustering | Data Mining | Databricks | Distributed SQL | 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 | Python | R | R Shiny | Relational databases | SQL | SciPy | Snowflake | Spark | Tableau | Text Mining
Education
Roles
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