Data Scientist-Direct Hire

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.

• Identifies analyzes data thats collected devises methods develop processes tools systems and machine learning algorithms to instrument of the agencys tax administration. This process transforms raw data into program models and actionable business intelligence. Extracts and interprets findings from various structured and unstructured data sets related to the data science lifecycle. The incumbent is 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 for improvements.
• Collaborates 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 for methodical data analysis projects and trends throughout the enterprise.
• Develops and implements customer strategy design of products and services and support platform development. The incumbent focuses on analyzing and supporting the development of enhanced user experiences and engagement through the entire lifecycle of customers interactions. Analyzes a variety of data sources to provide data-driven insights to the business unit to streamline processes.

• 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.

• 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 REQUIREMENTS: To qualify for this position you must meet the qualification requirements outlined below:

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: You may qualify with an equivalent combination of qualifying experience and education with at least 30 semester hours related to 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.

EDUCATION/SPECIALIZED EXPERIENCE FOR GS-11: In addition to meeting basic requirements to be eligible for this position you must have at least one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal Service. Specialized experience for this position includes: Applying descriptive or inferential statistical methods to analyze data identify trends or patterns evaluate results and develop findings reports or recommendations; Using programming query or scripting languages such as Structured Query Language (SQL) R Python SAS or equivalent tools to extract transform analyze or prepare data for analysis; Experience manipulating datasets in relational databases (e.g. Compliance Data Warehouse Enterprise Data Platform); Applying statistical or data science techniques such as forecasting predictive modeling machine learning optimization or exploratory data analysis to evaluate data or support analytic findings; and Creating reports dashboards visualizations written summaries or presentations to communicate statistical or technical findings to technical or non-technical audiences.

OR

EDUCATION: You may substitute education for specialized experience as follows: A Ph.D. or equivalent doctoral degree as described in the basic requirements in 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

Three (3) full academic years of progressively higher-level graduate education leading to a PH.D or equivalent doctoral degree in 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

COMBINATION OF EDUCATION AND EXPERIENCE: You may qualify with an equivalent combination of qualifying experience and education.

SPECIALIZED EXPERIENCE GRADE 12: In addition to the basic requirements above to be eligible for this position at the GS-12 level you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:

• Planning and carrying out data analysis assignments by applying descriptive or inferential statistical methods to analyze data from multiple sources validate results identify trends or patterns and develop findings reports or recommendations.
• Using programming query or scripting languages such as Structured Query Language (SQL) R Python SAS or equivalent tools to extract transform validate analyze visualize or document structured or unstructured data for data science projects.
• Experience manipulating datasets in relational databases (e.g. Compliance Data Warehouse Enterprise Data Platform).
• Applying statistical or data science techniques such as forecasting predictive modeling machine learning optimization prescriptive analysis or exploratory data analysis to evaluate data models programs or operations and make projections or recommendations.
• Creating and presenting reports dashboards visualizations written summaries or presentations that explain statistical or technical methods findings limitations or recommendations to managers stakeholders customers or project teams.