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Data Scientist

Commodity Futures Trading Commission

Fort Washington · On-site Full-time Mid Level $90k – $130k/yr 1mo ago

About the role

About

The Division of Data (DoD) is headed by the Chief Data Officer and 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.

Responsibilities

  • 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

  • U.S. Citizenship
  • Males born after 12-31-1959 must be registered for Selective Service
  • Background/Security Investigation
  • May be required to serve a probationary period

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

  • Degree in mathematics, statistics, computer science, data science or a directly related field at baccalaureate level or equivalent education and experience.
  • At least one year of specialized experience equivalent to the next lower grade (GS/CT-12 level).
  • Experience leading data science projects and providing technical guidance.
  • Experience in advanced statistical models, machine learning, big data technologies, and cloud-based analytics platforms.
  • Experience mentoring staff and presenting complex findings to senior management.
  • Experience designing and implementing automated data science workflows and pipelines.

Education

  • Education must be from an accredited college or university.
  • Foreign education must be evaluated for equivalency.

Additional Information

  • This is a Bargaining Unit Position located in the National Treasury Employee Union (NTEU) Chapter 337.
  • Relocation expenses will not be paid.
  • May be required to serve a 1-year probationary period.
  • Salary range depends on experience and qualifications.
  • Candidates should be committed to improving the efficiency of the Federal government and upholding the rule of law and the U.S. Constitution.

Benefits

  • A career with the U.S. government provides employees with a comprehensive benefits package.
  • Eligibility depends on position type (full-time, part-time, intermittent). Contact hiring agency for specifics.

Skills

AIbig data technologiescloud-based analytics platformsdata analysisdata cleaningdata miningdata scienceexploratory data analysismachine learningpredictive modelingstatistical models

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