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Data Scientist, CG-1560-15

Other Agencies and Independent Organizations - Washington, District of Columbia

Posted Jun 12, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
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Verification
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Salary
$186K-$258K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

98% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
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Assessment
Not verified
Deadline
Not stated

Where they hire

Hires in: DC From the posting source checked Jun 20, 2026

About this role

Data Scientist, CG-1560-15 Washington, District of Columbia Summary This position is located in the Division of Insurance and Research, Headquarters of the Federal Deposit Insurance Corporation and provides technical leadership and serves as team lead on data analysis projects, including projects that use complex analytic approaches common to the field of data science. Additional selections may be made from this vacancy announcement to fill similar vacancies that occur subsequent to this announcement. Duties Provides technical leadership and serves as team lead on data analysis projects, including projects that use complex analytic approaches common to the field of data science including AI/ML techniques, Natural Language Processing (NLP), statistical analysis, geographic analysis, data visualizations, and application/model development. Identifies methods, processes, algorithms, tools, and systems to generate and interpret findings from varied structured and unstructured datasets. Develops algorithms and tools for data manipulation and processing, as well as the use of data visualization techniques. Conducts empirical studies and analyses using artificial intelligence/machine learning (AI/ML) techniques to analyze structured, semi-structured, or unstructured data. Develops and maintains the use of cloud technologies (including Microsoft Azure Databricks and Apache Airflow), statistical programming languages and software (including Python and SQL), and distributed computing software and databases (such as Apache Spark and PySpark). Translates concepts, findings, and results into concise, plain language; closely ties conclusions to the agency mission, original problem statement, and team objectives. Requirements Registration with the Selective Service. U.S. Citizenship is required. Employment Conditions. Completion of Confidential Financial Disclosure may be required. Background Investigation (BI)

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