Salary
$121K–$157K/yr
Job Type
Full-time
Posted
2 weeks ago

Job Description

Summary

Seeking a GS-13 Data Scientist to apply advanced analytics, develop solutions, and provide data-driven insights using various tools and languages.

We are seeking a highly skilled and experienced Data Scientist (GS-13) to apply advanced analytical techniques, develop innovative solutions, and translate complex data into actionable insights.

  • *Key Responsibilities:**
  • Apply computer science, mathematical, and statistical theories to gather, analyze, and model quantitative data.
  • Design and construct new processes for interpreting trends, relationships, and correlations within datasets.
  • Develop automated solutions to complex analytical problems.
  • Perform data cleaning, manipulation, and create derived metrics.
  • Utilize data visualization tools to effectively communicate analytical results through graphics, charts, and complex visualizations.
  • Organize and present technical content clearly to non-technical audiences.
  • Collaborate effectively with stakeholders, management, and other agencies.
  • Develop computational algorithms and statistical methods to uncover patterns in large data volumes.
  • Write code in a variety of programming languages.
  • Provide data-driven insights and recommendations to support operations and decision-making.
  • *Qualifications:**
  • *Education:**
  • Bachelor's or higher degree in Mathematics, Statistics, Computer Science, or Data Science from an accredited institution.
  • *or* 24 semester hours in one of the specified majors, combined with additional education and relevant experience.
  • *Experience:**
  • One year of specialized experience equivalent to the GS-12 level in the Federal Service, demonstrating proficiency in the responsibilities listed above. This includes:
* Utilizing advanced analytical techniques for data modeling and reporting. * Developing automated solutions for data analysis. * Performing data cleaning, manipulation, and metric generation. * Creating and presenting complex data visualizations. * Translating technical information for diverse audiences. * Developing computational algorithms and statistical methods. * Coding in various languages and providing data-driven recommendations.


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