Duties
WHAT IS THE RAAS - Research, Applied Analytics and Statistics DIVISION?
A description of the business units can be found at :
Vacancies will be filled in the following specialty areas :
Research, Applied Analytics and Statistics
DUTIES :
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 RAAS 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 business's 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.
RequirementsConditions of Employment
Telework Eligible Positions : Telework eligible positions do not guarantee telework. Employees must meet and sustain IRS telework eligibility requirements (e.
g., reporting at least twice a pay period to your assigned Post of Duty (POD)) and supervisor's approval to participate in the IRS Telework Program.
Employees must also be within a 200-mile radius of their official assigned post-of-duty (POD) while in a telework status.
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 and 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))
Must successfully complete a background investigation, including a FBI criminal history record check (fingerprint check).
Qualifications
Federal experience is not required. The experience may have been gained in the public sector, private sector or One year of experience refers to full-time work;
part-time work 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 OR time of referral :
BASIC REQUIREMENT : EDUCATION :
A 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.
Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly.
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 sho
Location: Dallas, TX
Posted: Aug. 21, 2024, 11:09 p.m.
Apply Now Company Website