Data Scientist Direct Hire (12 Month Register)

Positions under this announcement are being filled using a Direct Hire Authority (DHA).
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.govQualifications: 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 losing date of this announcement OR time of referral:
BASIC REQUIREMENTS All GRADES:
A. 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
B. 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.
SPECIALIZED EXPERIENCE FOR GS-13:
You must have 1 year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position must include experience applying design and implementation of data science and analytical methods such as exploratory data analysis, descriptive analytics, and predictive analytics using machine learning. Experience with solution design techniques, implementation approaches, and analytics. Experience carrying out advanced analytics tasks on projects such as data preparation to deal with data outliers or missing data. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio. Experience applying effective communication, both orally and in writing to articulate findings and recommendations and to prepare reports and assessments for management. Experience in applying more than one data science model or algorithm and selecting the best using a performance metric like Area Under the Curve (AUC). Experience with the iterative processes required in carrying out data science projects such as identifying the business problem to be solved and data available to solve the problem, carrying out data preparation and feature engineering, and building models designed to solve the problem. Experience using data preparation methods, feature engineering, exploratory data analysis, predictive model creation, and designing and creating data visualizations. Experience with data analysis tools, data visualization tools, and data reporting platforms and tools such as, PowerBI, Tableau or other data analysis and visualization tools to tell stories with data and analysis (e.g., time series, cohort analysis, clustering analysis, trend analysis, principal components analysis, other data analysis).
SPECIALIZED EXPERIENCE FOR GS-14:
You must have 1 year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment. Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience with evaluative methods based on analytical skills and experiences balancing project and technological risk of the advanced solution's design, development and implementation. Experience defining data science problems and generating solution designs.
Experience communicating a synthesis of data science topics or issues and analytics solutions. Experience applying effective communication, both orally and in writing to articulate findings and recommendations. Experience with data preparation methods such as, feature creation, exploratory data analysis, model creation, and data visualization. Experience developing machine learning and AI models. Experience using data analysis, data visualization, and data reporting tools such as PowerBI or Tableau. Experience researching and applying internal guidelines, policies, and procedures in order to adapt them to varying circumstances, including resolving conflicts between directives and guidance from different sources.
For more information on qualifications please refer to OPM's Qualifications Standards.Education: 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.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here for Foreign Education Credentialing instructions.Employment Type: FULL_TIME