Data Scientist-Direct Hire-6-Month Register

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

• Responsible for the growth of data in the statistics and reporting environment by leading the certification of data sets that are available for reporting collaborating with IRS information technology leaders on desired new technologies and techniques to create efficient processes around data extraction loading transformation governance and cataloguing for better and reduced time to insights for the business units. Combines analyzes and interprets large and/or complex data sets to develop organizational solutions.
• Identifies the methods processes algorithms tools and systems to extract and interpret findings from various structured and unstructured data sets related to the data science lifecycle. Responsible for the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings. Uses emerging technology and various data sources to perform exploratory analyses on new and archival data sources.
• Conducts in-depth analysis of data and disseminates the results of those analyses. Identifies and/or develops innovative and effective approaches and methodologies; applies advanced operations research and data science techniques for quantitative analysis statistical analysis forecasting predictive modeling prescriptive analysis and optimization; and validates analysis and outcomes. Conducts statistical analysis to make informed projections and recommendations.
• Applies professional knowledge of computer science mathematical statistical theories techniques and methods to gather analyze design and construct new processes for analytical modeling interpreting models and/or reporting quantitative information trends relationships and correlations among or within data. Advises on the potential benefits/uses of automation to improve the efficiency of program operations. Analyzes a variety of data sources to provide data- driven insights to the Data and Analytics organization to streamline processes.
• Utilizes an in-depth knowledge of data science techniques and methodologies such as machine learning predictive analysis prescriptive analysis and optimization and other emerging analytical techniques to assist consult or lead others in the application of data science techniques. Defines and documents the specific analytics approaches applied in project delivery; establishing success metrics to be used in satisfying businesss requirements for project outcomes; and establishing key performance indicators to be used in ongoing reporting that measure the value creation delivered by the project over time.

• Probationary Period - All newly appointed employees to the competitive (or excepted) service are subject to a probationary (or trial) period. During this time your performance conduct and suitability for continued employment will be evaluated. You will not automatically convert to permanent status at the end of the probationary (or trial) period. Your supervisor must affirmatively determine that continued employment is in the best interest of the Federal service. If no certification is made before the probationary (or trial) period ends your appointment will be terminated. You are encouraged to actively engage with your supervisor seek feedback and understand role expectations. Additional guidance and support will be provided during onboarding.
• Government Credit Card - Obtain and use a Government-issued charge card for business-related travel.

• U.S Citizenship - Must be a U.S. Citizen or National and provide proof of U.S. Citizenship.
• Selective Service Registration - Males born after December 31 1959 are required to be registered with the Selective Service System or prove they are exempt from having to do so.
• Personal Identity Verification (PIV) - Must provide 2 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.

Federal experience is not required. Experience may have been gained in the public sector private sector or through 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/day/year and indicate number of hours worked per week on your resume.

You must meet the following requirements by the cut-off dates as shown in announcement under the How to Apply section.

QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelors or higher degree in mathematics statistics computer science data science or other 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

COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above plus additional education or appropriate experience.

AND

SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements you must have one (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 includes experience performing all the following:

• Leading data science or statistical analysis initiatives by defining project scope analytic approach data requirements schedules deliverables or success measures; coordinating work across data program business or technology stakeholders; and developing findings or recommendations for program or operational decisions.
• Developing or applying statistical machine learning operations research artificial intelligence or other data science methods to evaluate programs operations compliance or organizational performance for example forecasting predictive or prescriptive modeling optimization natural language processing or text analytics graph or link analysis neural networks or deep learning or exploratory data analysis.
• Overseeing data preparation data quality data governance data certification or analytic product delivery using programming query scripting or analytic tools such as Structured Query Language (SQL) R Python SAS or equivalent tools to support reproducible analysis reporting modeling or decision-support products.
• Experience manipulating datasets in relational databases (e.g. Compliance Data Warehouse Enterprise Data Platform).
• Advising managers or senior leaders on data science findings automation opportunities policy or program impacts resource implications risks or recommended changes to processes procedures or operations.
• Providing technical guidance review or mentoring to analysts or data scientists and preparing technical reports briefings presentations or documentation that explain methods assumptions limitations validation results success measures key performance indicators or recommendations.