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Statistician (Data Scientist - Interdisciplinary)

Company: Department Of The Treasury
Location: Saint Paul
Posted on: June 6, 2021

Job Description:

  • Duties

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Duties

Summary

Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information.

WHERE CAN I FIND OUT MORE ABOUT OTHER IRS CAREERS? Visit us on the web at www.jobs.irs.gov

Learn more about this agency

Responsibilities

WHAT IS THE SMALL BUSINESS SELF-EMPLOYMENTDIVISION?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

The following are the duties of this position at the full working level. If you are selected at a lower grade level, you will have the opportunity to learn to perform these duties and will receive training to help you grow in this position.

  • Serves as a technical expert with responsibility for the initiation, planning, implementation, controlling, modifying and executing of all or part of an entire project, including such tasks as formulation of workload estimates for program segments, specification of the methodology to be used, preparation of appropriate specifications and procedures, and review of computer systems specifications and materials and instructions needed for assuring the adequacy of the project's design and objectives. Explores novel methods of retrieving data, and develops innovative recommendations to management and senior leadership as a means for making data driven decisions such as modification of processes and policies. Reviews, evaluates, validates, and documents the results of the findings.
  • Assists the supervisor in determining the scope, goals and schedules for future programs in the Office. Results have a direct impact on assigned area's policy. Acts as a troubleshooter in resolving bottlenecks at any step in a project by identifying and proposing solutions; this may include coordination with other project team members or stakeholders to mitigate issues.
  • Collaborates with business and technology partners to understand business needs, identify opportunities, and develop and implement analytical solutions.
  • Identifies and assesses relevant data sources' validity and reliability to meet project needs.
  • Collates, cleans, transforms, analyzes, and integrates structured and unstructured data from various sources in preparation for analysis.
  • Applies scientific, data mining, and statistical theory and methods to test hypotheses using structured and unstructured data.
  • Develops data product solutions to improve customer experiences, anomaly detection, and business outcomes.
  • Tasks may include working with Statistical software (e.g. SAS, SQL, R), Tableau, Microsoft Excel and/or Access.

Travel Required

25% or less - You may be expected to travel for this position.

Supervisory status

No

Promotion Potential

13

  • Job family (Series)

1530 Statistics

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  • Statisticians

  • Requirements

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Requirements

Conditions of Employment

  • We may select from this announcement or any other source to fill one or more vacancies. Additional jobs may be filled.
  • This is a bargaining unit position.
  • Tour of Duty: Monday - Friday 8:00 am - 4:30 pm
  • Alternative work schedule, staggered work hours or telework may be available.
  • If you are in a telework eligible position, you may be directed to temporarily telework on a full-time basis due to COVID 19. Employees must be within a 150-mile radius of their official assigned post-of-duty (POD) while in a telework status. Once normal operations resume, employees may be directed back to the office to perform the duties of their position. Telework eligibility does not guarantee telework; employees must meet and sustain IRS telework eligibility requirements and supervisor's approval to participate in the IRS Telework Program. As a reminder - If you are selected for a position, you are responsible for reporting to your designated POD (location) on the negotiated start date or as directed by management.
  • Must be a U.S. Citizen or National.
  • A 1-year probationary period is required.
  • Have your salary sent to a financial institution of your choice by Direct Deposit/Electronic Funds Transfer.
  • Undergo an income tax verification and review of prior performance/conduct.
  • Must successfully complete a background investigation, including a FBI criminal history record check (fingerprint check).
  • Complete a Declaration for Federal Employment to determine your suitability for Federal employment, at the time requested by the agency.
  • If you are a male applicant born after December 31, 1959, certify that you have registered with the Selective Service System or are exempt from having to do so.
  • Go through a Personal Identity Verification (PIV) process that requires two forms of identification from the Form I-9. Federal law requires verification of the identity and employment eligibility of all new hires in the U.S. These documents must be unexpired original or certified copies.
  • Provide proof of U.S. Citizenship. (Birth certificate showing birth in the U.S; Unexpired U.S. Passport; Certificate of Citizenship or Naturalization; or Report of Birth Abroad of a U.S. Citizen (Form FS-240))
  • The employment of any candidate, including a current employee or a new hire, selected for this position may be conditional upon classification and/or audit of federal tax returns. This audit may include up to 2 years of returns.

Qualifications

Federal experience is not required. The experience may have been gained in the public sector, private sector or Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/year, and indicate number of hours worked per week, on your resume.

You must meet the following requirements by the closing date of this announcement:

BASIC REQUIREMENT: You must have a bachelor's degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

OR

Combination of education and experience -- courses as shown above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

In addition to meeting the basic requirement above, you must also meet the qualification requirements listed below:

SPECIALIZED EXPERIENCE FOR GS-09: One year of specialized experience at a level of difficulty and responsibility equivalent to the GS-7 grade level in the Federal service. Specialized experience includes at least three of the following: Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate data science centric models. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project. Experience using tools for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.

OR

Substitute education for specialized experience specialized experience as follows: Two (2) full academic years of progressively higher level graduate education in in Mathematics, statistics or related field of study from an accredited college or university.

OR

Master's or equivalent degree in Mathematics, statistics or related field of study from an accredited college or university.

SPECIALIZED EXPERIENCE FOR GS-11: One year of specialized experience at a level of difficulty and responsibility equivalent to the GS-9 grade level in the Federal service. Specialized experience includes at least five of the following: Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate data science centric models. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project. Experience using tools for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.

OR

Substitute education for specialized experience as follows: Three (3) full academic years of progressively higher level graduate education in Mathematics, Statistics or related fields.

OR

Ph. D. or equivalent doctoral degree Mathematics, Statistics or related field of study from an accredited college or university.

SPECIALIZED EXPERIENCE FOR GS-12: One year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience includes ALL of the following: Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate data science centric models. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project. Experience using tools for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.

SPECIALIZED EXPERIENCE FOR GS-13: One year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience includes all of the following: Experience applying project management principles on a data science project. Experience planning and executing a variety of data science and/or analytics projects. Experience using data mining process models (such as CRISP-DM, SEMMA, etc.) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate data science centric models. Experience working with multiple data types and formats as a part of a data science project. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project. Experience using tools for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education

EDUCATION DOCUMENTATION

For positions with an education requirement, or if you are qualifying for this position by substituting education or training for experience, submit a copy of your transcripts or equivalent. An official transcript will be required if you are selected.

A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.

If you are qualifying based on foreign education, you must submit proof of creditability of education as evaluated by a credentialing agency. Refer to the OPM instructions.

Keywords: Department Of The Treasury, St. Paul , Statistician (Data Scientist - Interdisciplinary), Other , Saint Paul, Minnesota

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