
Data Scientist-Emerging Markets
Commodity Futures Trading Commission
Washington, DCFull-time$180–264K/yrPosted 1 day ago
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Job overview
The Division of Data at the CFTC seeks a Data Scientist to support senior leaders in shaping data strategy, developing AI/ML solutions, and advancing analytics across emerging market segments. The role involves collecting, cleaning, and analyzing large datasets, building predictive models, and creating automated data science workflows to enhance surveillance and policy outcomes.
Skills & qualifications
Skills
Qualifications
Full job description
Summary
The Division of Data (DoD or Division) serves as the leading authority on developing, implementing, and operating the Commission's data strategies.The Division is comprised of the Data Operations and Standards Branch (DOSB) and the Enterprise Data Analytics (EDA) section. This position is in the EDA section.
Duties
- Assist senior Data Scientists and support the Chief Data Scientist (CDS) and Chief Data Officer (CDO) in developing, defining, and driving the CFTC's data strategy to advance the exploration and deployment of AI, ML, and enterprise analytics for improved or novel outcomes across traditional and emerging market segments. • Assist in identifying and developing data-driven solutions for complex business challenges to expand the agency's data analytics and computational research capabilities. •Collect, clean, and analyze large datasets from multiple sources for data quality, accuracy, and integrity. •Conduct exploratory data analysis on large, complex datasets containing structured and unstructured data to identify novel trends, patterns, relationships, and anomalies. •Utilize modern tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations for business and analytic decisions. •Develop predictive models that use advanced statistical and machine learning methods to strengthen the CFTC's surveillance capabilities and achieve CFTC policy goals, including data-driven rules generation, market monitoring, examinations and surveillance. Assist in the development of AI and ML models for risk scoring and predictive measures to identify candidates for further investigation using structured (especially tabular), and unstructured data. Requirements
The self-assessment questions relate to the following knowledge, skills, abilities, and competencies (KSA's). Computational Analytics and Technology Evaluation Data Infrastructure and Mining Data Science Governance and Strategy Strategic Data Science Advisory and Systems Development Qualifications
BASIC QUALIFICATION REQUIREMENTS: To be considered for this position, you must have either: 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. In addition to meeting the specialized experience below you must meet the basic requirement above to qualify for this position. CT-14: To qualify for the CT-14 level you must have at least one year of specialized experience equivalent to the next lower grade (GS/CT-13 level). Specialized experience is defined that through which one has gained experience: Experience leading data science projects and providing technical guidance. AND Experience in advanced statistical models, machine learning, big data technologies, and cloud-based analytics platforms. AND Experience mentoring staff and presenting complex findings to senior management. AND Experience designing and implementing automated data science workflows and pipelines.
Education
You must meet the United States Office of Personnel Management's (OPM) qualification requirements (including specialized experience and/or educational requirements) for the advertised position. You must meet all eligibility and qualifications requirements by the closing date of the job announcement. OPM Qualifications Standards are available at Data Science Series 1560. To be creditable, education must have been obtained in an accredited college or university. You must report only attendance and/or degrees from schools accredited by accrediting institutions that are recognized by the U.S. Department of Education. For a list of schools that meet this criterion, see www.ed.gov. 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 How You Will Be Evaluated
This vacancy is being filled through the Office of Personnel Management's Government-wide Direct Hire Authority for Data Science Series 1560. Traditional rating and ranking procedures do not apply to this vacancy. All applicants who meet the specialized experience will be forwarded to the Selecting Official for consideration. Veteran's Preference does not apply to the direct hire recruitment procedures. 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. You may preview questions for this vacancy. Other Information
This is a Bargaining Unit Position located in the National Treasury Employee Union (NTEU) Chapter 337. Relocation: Relocation expenses will not be paid. Probationary Period: As a condition of employment for accepting this position, you may be required to serve a 1-year probationary period during which we will evaluate your fitness and whether your continued employment advances the public interest. In determining if your employment advances the public interest, we may consider: Your performance and conduct; The needs and interests of the agency; Whether your continued employment would advance organizational goals of the agency or the Government; and Whether your continued employment would advance the efficiency of the Federal service. Upon completion of your probationary/trial period your employment will be terminated unless you receive certification, in writing, that your continued employment advances the public interest. More than the number of positions listed may be filled through this vacancy announcement. The overall salary range is provided for informational purposes as it represents the full range that is applicable to current employees in this occupation/grade. A new hire's direct and overall experience are critical factors in determining a salary offer, therefore, it is important that your resume fully reflects all of your work experience. Note that the upper end of each range is typically applicable only to candidates with significant years of work experience and qualifications Please review the CFTC Compensation Program website for additional information. The law prohibits public officials from appointing, promoting, or recommending their relatives. The law prohibits requesting, making, transmitting, accepting, or considering political recommendations for employment or other personnel actions for non-political positions. This includes recommendations from Members of Congress, Congressional employees, elected state or local officials, and political party officials and any recommendation based on party affiliation. Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
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