Skip to main content
U.S. flag
Back to results

Chief Data Scientist

Commodity Futures Trading Commission
This job announcement has closed

Summary

Apply now for an exciting opportunity at the Commodity Futures Trading Commission (CFTC) in the Division of Data (DOD). With an expanded mission and authority to include oversight of the swap markets, the CFTC continues to protect the American public by promoting market integrity, transparency and preventing and prosecuting fraud, manipulation and other abuse in the futures and options markets. Please visit www.cftc.gov to learn more about the CFTC.

Overview

Help
Hiring complete
Open & closing dates
05/23/2023 to 06/08/2023
Salary
$187,464 to - $272,100 per year
Pay scale & grade
CT 15
Location
Few vacancies in the following location:
Washington
Few vacancies
Remote job
No
Telework eligible
Yes—as determined by the agency policy.
Travel Required
Occasional travel - Some travel may be required.
Relocation expenses reimbursed
No
Appointment type
Permanent
Work schedule
Full-time
Service
Competitive
Promotion potential
15 - CT-15
Job family (Series)
Supervisory status
No
Security clearance
Not Required
Drug test
No
Position sensitivity and risk
Special-Sensitive (SS)/High Risk
Trust determination process
Announcement number
CFTC-DOD-2023-0012
Control number
727677600

Duties

Help

The Chief Data Scientist (CDS) position is located in the Division of Data (DOD) at the Commodity Futures Trading Commission (CFTC or Commission), and will report directly to the DOD Director (Director), who is also the CFTC’s Chief Data Officer (CDO). DOD focuses on data ingest, data integration, data operations and support, data usability, high-performance computing functions, and data architecture.

The CDS serves as a business strategist using state-of-the-art data science principles, theories, and methodologies to deliver data-driven solutions that optimize the CFTC’s surveillance and market intelligence data analytics capabilities to support the agency’s enforcement, examinations, policy, research, and operational priorities. The CDS will plan, prioritize, fund, and execute new and innovative analytics-based initiatives and processes based on merit and scientific principles. The CDS will provide expertise in artificial intelligence (AI), machine learning (ML), natural language processing (NLP), robotic process automation, data cleansing, data analysis, and data visualization. The CDS will align organizational expectations with available AI/ML functionalities to drive creative innovation and identify pragmatic solutions. The CDS will focus on developing custom analytics solutions, creating and maintaining high quality data sets, providing data science capabilities, enabling process improvements, supporting agency-wide data analysis, and enabling self-service analytics. The incumbent:

  • Serves as an expert, consultant and advisor to the Chief Data Officer to assist in fulfilling the agency’s responsibilities for establishing and implementing an appropriate and effective enterprise data program to achieve CFTC mission goals and objectives.
  • Conducts research and makes unprecedented developmental contributions to create and evolve agency data science initiatives to include related enabling infrastructure, including the coordination of an appropriately balanced pursuit of enterprise business, information, technical and solution viewpoints. To make these contributions, the incumbent must maintain state-of-the-art knowledge of computer science, data science, and its applications for business outcomes.
  • Evaluates the Commission’s current data architecture/infrastructure including associated data analytics and machine learning efforts and business intelligence that will provide substantive support to the operating divisions.  

Requirements

Help

Conditions of employment

  • U.S. Citizenship.
  • Background/Security Investigation.
  • Males born after 12-31-59 must be registered for Selective Service
  • May be required to successfully complete a probationary period.
  • Subject to satisfactory security and suitability requirements.
  • Subject to time-in-grade requirements, if applicable.

Must be an expert with state-of-the-art knowledge of computer science, data science and analytics, and their applications for business outcomes.

Must have developed new concepts, approaches, and programs to streamline organizational processes by analyzing a variety of data sources to provide insights and address certain operational inefficiencies.  Must have experience in managing cultural change as part of this type of business process improvement. 

Must have experience in identifying and implementing automation activities involving data sources.

Must have experience with both structured and unstructured data sources

Must have experience interacting, advising, collaborating with data scientists, data users, and business users to advance and promote data science and governance techniques.  Preferred: leading groups of data scientists and data users in use of new techniques. 

Must have experience collaborating with senior leadership to establish policies and standards for advanced analytics and emerging technologies.  Especially important is the ability to communicate technical concepts to non-technical audiences.  Preferred: experience serving as an expert within the Federal Government and speaking at conferences to share data science approaches, viewpoints, goals and objectives. 

Must have experience in using open source tools to build and manage solutions and enable collaboration.  Preferred: experience in using commercial data products to perform predictive modeling, governance activities, inference gathering, data quality and automation. 

Mastery of and skill in applying principles, theories, and methodologies for specialized areas within data science sufficient to provide expertise in artificial intelligence (AI), machine learning (ML), natural language processing (NLP), data cleansing, data analysis, and data visualization. Ability to develop innovative analytics-based initiatives and custom solutions, create and maintain high quality data sets, provide data science capabilities, support agency-wide data analysis, and enable self-service analytics. 

Use in-depth knowledge of data science to formulate, test, and evaluate new theories, principles, concepts, best practices, and technological advances to identify, prototype, and implement new use cases, tools, and techniques that analyze  structured and unstructured data sets reported and generated by the CFTC.

Qualifications

To Qualify for this position, applicants must meet both the Basic Requirement and the Specialized Experience Requirement listed below:

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

In addition to the Basic Requirement, your resume must demonstrate at least one year of specialized experience equivalent to the CT/GS-14 level in the Federal service, or comparable experience not gained through federal service.

Examples of specialized experience include:

  • Expert knowledge and experience in applying a comprehensive knowledge of data and analytics systems, machine learning as well as the framework and underlying concepts related to those systems, used by an organization to conduct evaluations of data systems, and data analytics.
  • Demonstrated technical ability in various programming languages, statistical and machine learning techniques, distributed computing and parallel processing database systems.
  • Proven transformation skills that include the ability to consistently execute at a high level, drive positive change, and build teams and new programs where gaps are identified or where needed across the organization. 

Education

Evaluation of Education:

Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of data science. Courses designed to provide an introduction to data science techniques and methodologies, to problems of data architecture, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable.

SPECIAL INSTRUCTIONS FOR FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit:  http://www.ed.gov/about/offices/list/ous/international/usnei/us/edlite-visitus-forrecog.html

Additional information

Relocation: Relocation expenses will not be paid. 

This is a Bargaining Unit Position located in the National Treasury Employee Union (NTEU) Chapter 337.

Probationary Period: You may be required to serve a probationary period, if applicable. 

Time-in-Grade: You must meet time-in-grade requirements within 30 days of the closing date of this announcement.

More than the number of positions listed may be filled through this vacancy announcement.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

Your application will be evaluated and rated under CFTC Category Rating and Selection Procedures. Your resume and supporting documentation will be used to determine whether you meet the job qualifications listed in this announcement. If you are minimally qualified for this job, your resume and supporting documentation will be compared to your responses on the online assessment questionnaire. If you rate yourself higher than is supported by your application materials, your responses may be adjusted and/or you may be excluded from consideration for this job. Your application will then be placed in one of three categories: Best Qualified, Well Qualified, or Qualified. Names of all candidates in the best qualified category will be sent to the hiring official for employment consideration. Candidates within the best qualified category who are eligible for veteran’s preference will receive selection priority over non-veteran preference eligibles.


You may preview questions for this vacancy.

Your session is about to expire!

Your USAJOBS session will expire due to inactivity in 8 minutes. Any unsaved data will be lost if you allow the session to expire. Click the button below to continue your session.