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WHAT IS THE ONLINE SERVICESDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
Vacancies will be filled in the following specialty areas:
OLS - USER EXPERIENCE SERVICES
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.
1. Participates as a Data Scientist in the advanced analytics projects undertaken; assisting in the interpretation requirements, conducting exploratory data analysis, assisting in the development or solution designs and other project artifacts, and performing tasks assigned for the effective delivery of data science and analytics. This includes participating in code reviews and assisting in the coordination of, and getting acceptance for, delivery item acceptance. The incumbent is responsible for clear verbal and written communications, assist in providing provide trainings on and outside the Team, and to be engaged as a Mentee as the Data Scientist on the Team. The incumbent will be responsible for constantly holding the picture of OLS and the IRS's drive for digital and cultural transformation to a customer-centric orientation with a data and analytics emphasis by improving the overall data and analytics environment while being pragmatic and agile and in synch with the needs of the business at all times. The incumbent will be assisting in data extraction, data loading, data transformation, data and analytics governance, and data cataloguing for better and reduced time to insights. The incumbent will attain high proficiency on our data science and analytics tools and platforms while strengthening standards and governance of each by participating in standards and governance activities. (Approx. 50%)
2. The Data Scientist applies their professional knowledge of computer science, mathematical, statistical theories, techniques, and methods to gather, analyze, design and assist in the construction of new processes for analytical modeling, model interpretation, and/or assisting in the reporting of quantitative information, data trends, data relationships and data correlations among or within data. The Data Scientist is expected to be expert at the development of exploratory data analysis plans and be highly proficient at carrying out the INTERNAL REVENUE SERVICE STANDARD POSITION DESCRIPTION SPD# 22388 Page 2 analysis with little or no supervision. The Data Scientist is also expected to have an advanced level of descriptive analysis skills to generate simple summaries and measures in analytics tools such as PowerBI. (Approx. 25%)
3. The Incumbent works with the Team Lead and Data Scientists and the business to define advanced analytics, M/L and AI project objectives, assist in the definition of measures, facts and dimensions of effectiveness and expected outcomes that create business value, and assist others on the Team in the identification and/or develop of innovative and effective novel analytics approaches and methodologies. The Data Scientist is expected to be able to assist in the application of advanced quantitative analysis. The Incumbent is expected to have basic proficiency in scripting and analytics tools and is required to assist in planning, development, test and production of analytics models, reporting and dashboarding. (Approx. 15%)
4. The Data Scientist participates as a hands-on team member for the advanced analytics projects undertaken, defining, coding, coordinating, evaluating, and analyzing model performance. The incumbent will assist Team members and carry out tasks based on an in-depth knowledge of data science techniques and methodologies such as machine learning, as well as other emerging analytical techniques. The incumbent will document the specific analytics approaches applied in project delivery; assist in the establishment and measurement and monitoring of success metrics to be used in satisfying business's requirements for project outcomes. The Data Scientist will help drive pragmatic approaches to solving business problems through data analysis, predictive modeling and machine learning techniques and be responsible for carrying out tasks as assigned. The Data Scientist will assist in the recommendation and documentation for data collection, integration, and retention requirements; and make assist in the recommendation and documentation of improvements to analytical methods and algorithms. (Approx. 10%)
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.
Benefits
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
You will be evaluated for this job based on how well you meet the qualifications above.
Your application includes your resume, responses to the online questions, and required supporting documents. Please be sure that your resume includes detailed information to support your qualifications for this position; failure to provide sufficient evidence in your resume may result in a "not qualified" determination.
Rating: You will be assessed on the following competencies (knowledge, skills, abilities, and other characteristics):
Benefits
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
Review our benefits
Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.
Required Documents
As a new or existing federal employee, you and your family may have access to a range of benefits. Your benefits depend on the type of position you have - whether you're a permanent, part-time, temporary or an intermittent employee. You may be eligible for the following benefits, however, check with your agency to make sure you're eligible under their policies.
The following documents are required and must be provided with your application. All application materials, including transcripts, must be in English.
How to Apply
The following instructions outline our application process. You must complete this application process and submit any required documents by 11:59 p.m. Eastern Time (ET) on 02/20/2024 and/or cut-off dates in this announcement. We are available to assist you during business hours (normally 8:00 a.m. - 4:00 p.m. ET, Monday - Friday). If applying online poses a hardship, please contact us by noon ET on 02/20/2024.
To preview the Application Questionnaire, please click the following link: https://apply.usastaffing.gov/ViewQuestionnaire/12304627
866-743-5748
KCJobs@irs.gov
https://irsgov.sharepoint.com/sites/EmployeeResources/SitePages/ERC-Help-Desk.aspx
Treasury believes in a working environment that supports inclusion; please view our reasonable accommodation policies and procedures at https://www.jobs.irs.gov/midcareer/reasonable-accommodation.html. We provide reasonable accommodation to applicants with disabilities on a case-by-case basis; contact us if you require this for any part of the application and hiring process.
Once your application package and online questionnaire is received you will receive an acknowledgement email. You are responsible for checking status updates and notifications in USAJOBS. Hard copy notifications will not be sent to you. You may check the status of your application for this position at any time by logging onto the USAJOBS "My Account" tab and clicking on "Application Status." For a more detailed update of your application status, you may click on "more information." Please notify us if your contact information changes after the closing date of the announcement. If your email mailbox is full or blocked (SPAM) you may not receive important communication that could affect your consideration for this position.
Fair and Transparent
The Federal hiring process is set up to be fair and transparent. Please read the following guidance.
The following documents are required and must be provided with your application. All application materials, including transcripts, must be in English.
Federal employees who meet the definition of a "surplus" or "displaced" employee.
U.S. Citizens, Nationals or those who owe allegiance to the U.S.
Open to U.S. Citizens/Nationals
Full Time
$101k-124k (estimate)
02/10/2024
05/06/2024
The job skills required for Data Scientist include Analysis, Data Science, Machine Learning, Computer Science, Data Analysis, Data Analytics, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.