Data Scientist-Emerging Markets

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.

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 mut 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. Specialized experience for this position includes: CT-13: To qualify for the CT-13 level you must have at least one year of specialized experience equivalent to the next lower grade (GS/CT-12 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

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