Data Scientist

US-Agricultural-Marketing-Servic; Little Rock (AR); On-site; USD 70,000 - 110,000; Full time

Job summary

US Agricultural Marketing Service in Little Rock, Arkansas seeks a data-focused professional at GS-12/13 to help build automated data pipelines, assemble datasets, and create spatial layers for analysis.

You'll work with Python, R, SQL, and web technologies to develop dashboards and tools that enable analysts and stakeholders to explore agricultural data. Collaboration with teammates and end-users is essential.

Qualifications

• Bachelor's degree or combination of education and experience as described.
• Fields include Mathematics, Statistics, CS, Data Science or related.
• Experience with data extraction pipelines and data products is preferred.

Responsibilities

• Assist in developing automated data extraction pipelines and datasets.
• Contribute to software packages and interactive dashboards for data exploration.
• Support research and communicate technical information to non-technical users.

Skills

C++

Python

R

SQL

JavaScript/HTML

Cloud platforms

Education

Bachelor's degree in Mathematics, Statistics, CS, Data Science or related field

Tools

SQL

Cloud Platforms (AWS/Azure/GCP)

Dashboard Tools

Python/R environments

Job description

BASIC REQUIREMENT:

1. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

   OR

2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

FOR THE GS-12 LEVEL:

• Assisting in the development of automated pipelines for data extraction from databases or publicly available sources to support statistical analysis, construction of datasets, and creation of data products-including spatial layers-for further analytical use.
• Contributing to the development of software packages or interactive data visualizations, such as dashboards or analytic tools, that enable users to explore and interpret data across multiple subsets.
• Regularly using programming languages applied in data science activities, such as statistical analysis (e.g., C++, Python, or R), software or web application development (e.g., JavaScript or HTML), database management (e.g., SQL), and/or cloud platforms (e.g., AWS, Azure, or GCP).
• Assisting with the development or implementation of statistical models relevant to ecological systems or disease surveillance, which may include contributing to research articles, prototypes, or internal analytical products.
• Supporting research or software development projects, including helping communicate technical information to non-technical users, collaborating with teammates, and participating in iterative development with end-users.

Note: There is no education substitution for this grade level.

FOR THE GS-13 LEVEL:

• Developed automated pipelines for data extraction from databases or publicly available data sources to combine data for statistical analysis, construction of new databases, and construction of data products that create spatial layers for additional analyses.
• Developed software packages and interactive data visualizations including interactive dashboards and analytic tools that help users visualize their data in different subsets.
• Regular use of programming languages in multiple data science areas: statistical data analysis (e.g., C++, python, or R), software or web application development (e.g., JavaScript or HTML), database management (e.g., SQL), and/or of cloud platforms (e.g., AWS, Azure, or GCP).
• Developed statistical models of ecological systems, especially of disease surveillance data, as evidenced through authorship on research articles or software.
• Led research or software development projects, including communicating technical information, both orally and in writing to non-technical end-users and building effective developer/end-user relationships for collaborative development.

Note: There is no education substitution for this grade level.

TRANSCRIPTS

• This position requires specific coursework or a degree in a specific field to be basically qualified.
• This education must have been successfully completed and obtained from an accredited school, college, or university.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.