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Data Science Engineer
2 months ago
Job Description:
List of Tasks to be Performed:
Task #1: Data Analysis and Visualization Development
Deliverables will be tailored to each project and may include:
- Rapid analysis scripts
- Visualization prototypes / models
- Interactive dashboards
- Visioning session materials
- Analysis reports and presentations
- Project plans and documentation
The deliverable shall meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
- Analysis techniques are appropriate for the given need and available data
- Project timelines are met within a reasonable variance due to uncertainty of the individual project
- Project documentation is accurate to the analysis findings and free of grammatical errors
- Products meet the Business Units needs and are usable by the Business Unit with minimal training
Task #2: Modeling and Optimization
Deliverables are projectdependent and may include:
- Mathematical optimization models
- Source code and/or scripting
- Translational documentation for use in analytical and visualization product development
- Proposal presentations
- Project result documentation and presentations
The deliverable must meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
- Model parameters and functions are appropriate for the given need and available data
- Project timelines are met within a reasonable variance due to uncertainty of the individual project
- Project documentation is accurate to the analysis findings and free of grammatical errors
- Products meet the Business Units needs and are usable by the Business Unit with minimal training
Required Certification/Experience Level/Education that displays the following:
Some academic criteria for data science Ex. Data science statistics or experimental psych. Skilled in SQL Python or R preferably both. Have good communication skills and some proven ability to work in a variety of industries indicating ability to be a quick study when confronted with the complex environment at USPS.