Data Scientist

3 weeks ago

Arlington, United States US Office of the Inspector General, USPS Full time

**Duties**:
**In-Office **Requirement**:
The U.S. Postal Service, Office of Inspector General values collaboration, teamwork, and effective communication to foster our dynamic working and learning environment. The position adheres to our agency's telework policy to facilitate this and requires an in-office presence of at least two days per pay period. Remote work is not available for this role.

This position is being advertised at the Journey Band level, equivalent to a GS-9 to GS-13. The salary range for this position is $68,405.00 - $153,354.00. The salary figures include locality pay. The salary figures include locality pay. Promotion potential to a GS-13 equivalent is at management's discretion.

Please note that the duties and responsibilities associated with this position may vary based upon the agency's needs at the time of hire. The following description of major duties and responsibilities is only intended to give applicants a general overview of the expectations.
- Leverage USPS and 3rd party data sets to identify trends, risks, significance, and appropriate solutions for complex issues that involve major areas of uncertainty in approach, methodology, or interpretation
- Design experiments, tests hypotheses, and build scalable models using data science and artificial intelligence (e.g. machine learning, natural language processing, computer vision)
- Design and maintain data pipelines to support machine learning systems
- Monitor model performance for data drift and other anomalies and design systems to track performance and usage of ML models
- Operationalize machine learning models by deploying them in production environments
- Automate model training, deployment, and monitoring
- Develop statistical models and methodologies to predict, quantify, and evaluate various business metrics in support of audit, investigative, and business objectives
- Provide expertise and assistance in integrating advanced analytics working with leadership teams to find best in class business solutions
- Use relational databases, data lakes, and other data environments to wrangle large and disparate data sets to create a variety of analytic products and visualizations such as business intelligence tools, summary tables, comparison graphs, and link analysis charts
- Present analytic findings to the organization through understandable reports and visualizations
- Assess new technologies for solving business problems, including conducting proof of concepts to assess applicability, quality, and functionality
- Research, design, develop, adapt, and enhance analytical and reporting solutions using a range of analytics techniques, methods, and tools
- Make recommendations regarding how data is collected, used, and managed
- Use expert level knowledge to identify and develop sources of information from structured and unstructured data, criminal intelligence databases, public information sources, internal Postal Service databases, reference manuals, and audit and law enforcement reports
- Develop and review written materials (such as reports, special analyses, proposals) and presentations to convey information, make recommendations and improvements concerning complex programs and functions to internal and external audiences, demonstrating varying levels of understanding of the organization's programs and activities
- Prepare comprehensive documentation for requirements, test plans, user manuals, technical diagrams, and training materials

**Requirements**:
**Conditions of Employment**:

- Must be a U.S. citizen
- Must be able to pass a drug screening and medical assessment questionnaire.
- Must be able to pass a background investigation
- Must be able to obtain and maintain Moderate Background Investigation security clearance
- Must be able to obtain and maintain a government-issued credit card
- May be required to successfully complete a 12-month probationary period

**Qualifications**:
**MINIMUM QUALIFICATIONS**

You must meet ALL of the minimum qualifications listed below.
- Bachelor's degree from an accredited college or university

**AND**

**AND**
- Must have proven ability to thrive in a fast-paced environment with multiple priorities utilizing project management processes

**AND**
- Must have 1 year of specialized experience in using an object-oriented programming language (Python (preferred), R, Scala, Rust, or Java) for data science and/or machine learning projects

**AND**
- Must have 1 year of specialized experience with ML frameworks and libraries (e.g. TensorFlow, PyTorch, or Scikit-learn)

**AND**
- Must have 1 year of specialized experience developing and presenting analytically derived findings to a business audience utilizing business intelligence tools such as PowerBI (preferred), Tableau, Qlik, or other similar products

**DESIRABLE QUALIFICATIONS**
- Practical experience with cloud platforms such as Azure (preferred), AWS, or GCP
- Experience utilizing notebooks and tools (Databricks (preferred), Jupyter

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