Data Science Engineer

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.