Data Scientist

at  US Office of Personnel Management

BASIC REQUIREMENTS

A. 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
B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours), plus additional education or appropriate experience.
For the GS14: You must have You must have one full year (52 weeks) of specialized experience that is at least equivalent in difficulty and complexity to work performed at the GS-13 grade level. Specialized experience for this position must have included ALL the following:
1. Using programming languages (e.g., Python, R) and data science tools (e.g., Databricks, Synapse) to conduct advanced analyses;
2. Developing machine learning applications, from data collection to deployment, using real-world data to improve the efficiency or effectiveness of a process; AND
3. Leading the work of an analytics team, including developing team processes and reviewing the work of other data scientists or analysts.
You must meet all qualification and eligibility requirements by the closing date of this announcement.
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, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

EDUCATION

This position has a basic education requirement listed under the Qualifications section of this announcement.

IF YOU ARE RELYING ON YOUR EDUCATION TO MEET QUALIFICATION REQUIREMENTS:

Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.

Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.

• How to Apply

To apply for this position, you must complete the online application and submit the documentation specified in the Required Documents section below.
The complete application package must be submitted by 11:59 PM (EST) on 07/31/2024 to receive consideration.

To begin, click Apply Online to access an online application. Follow the prompts to select your USAJOBS resume and/or other supporting documents. You will need to be logged into your USAJOBS account or you may need to create a new account.

• You will be taken to an online application. Complete the online application, verify the required documentation, and submit the application.
• You will receive an email notification when your application has been received for the announcement.
• To verify the status of your application, log into your USAJOBS account, https://my.usajobs.gov/Account/Login, select the Application Status link and then select the More Information link for this position. The Application Status page will display the status of your application, the documentation received and processed, and your responses submitted to the online application. Your uploaded documents may take several hours to clear the virus scan process.

You may preview the assessment questionnaire by clicking here: https://apply.usastaffing.gov/ViewQuestionnaire/12491937

IF YOU ARE RELYING ON YOUR EDUCATION TO MEET QUALIFICATION REQUIREMENTS:

Education must be accredited by an accrediting institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
Failure to provide all of the required information as stated in this vacancy announcement may result in an ineligible rating or may affect the overall rating.
Help

• Designs, develops and implements computational and machine learning algorithms to big data to identify insights using next generation analytics tools to develop data-driven organization solutions.
• Develops and maintains effective working relationships with HI staff and other agencies.
• Perform in-depth analysis of the data using techniques such as optimization methods, regression analysis, statistical analysis.
• Uses advanced expert communication skills, data visualization, and written materials to convey in simple terms highly- complex concepts.