Data Scientist 4
Tasks
- Advise procurement data driven decision making
- Build large complex data sets
- Collect and analyze data from multiple sources
- Communicate findings to business and IT leaders
- Conduct advanced data mining research
- Develop data processes and pipelines
- Develop machine learning models
- Identify trends and insights
- Mine and explore data
- Perform predictive analytics
- Recommend new uses for existing data sources
Perks/Benefits
- N/A
Skills/Tech-stack
AWS EC2 | AWS Lambda | Amazon Athena | Amazon CloudFront | Amazon CloudWatch | Amazon EMR | Amazon IAM | Amazon Kinesis | Amazon RDS | Amazon Redshift | Amazon Route 53 | Amazon S3 | Amazon SNS | Amazon SQS | Amazon VPC | Amazon Web Services | Apache Spark | Azure Data | Azure Data Lake | Big Data | Data Lake | Git | GitHub | HDFS | Hive | JSON | Jupyter Notebooks | Looker | MapReduce | Microsoft SQL | Microsoft SQL Server | MySQL | Oracle | PostgreSQL | Power BI | Powershell | Putty | PySpark | Python | QuickSight | Route 53 | SQL | SQL Server | SSH | Shell Scripting | Snowflake | Spark SQL | Tableau | Web Services | XML
Education
N/A
Roles
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