Data Scientist (Statistician) - Direct Hire

IRS-babd5cc6; Anchorage (AK); On-site; USD 95,000 - 150,000; Full time

Job summary

IRS is seeking a Statistics/Data Science professional for the LBI area, focusing on data collection, cleaning, integration, and modeling using ML/NLP methods. Candidates should have substantial experience with XML and open-source data tools and be able to communicate results to stakeholders.

Federal experience is not required, and roles may involve diverse data sources, large datasets, and application of statistical techniques to inform compliance integration strategies.

Qualifications

• Education includes 15 stats hours and 9 more hours in science or related fields.
• Specialized experience in data sources, data cleaning, and integration.
• Experience with data-mining processes CRISP-DM or SEMMA.
• Experience applying statistics, inference, forecasting, and sampling methods.
• Experience developing analytical/AI models using ML, NLP, or DL.
• Experience retrieving/processing data using programming languages and databases.
• Ability to coordinate and communicate analytical findings to stakeholders.

Skills

Data validation

Data wrangling

CRISP-DM

SEMMA

Machine learning concepts

Communication of results

Statistics knowledge

Education

Statistical coursework requirement (15 stats hrs) with 9 additional hrs in science/engineering/social sciences

Tools

XML

R

Python

SQL

Java

Databricks

Oracle

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONAL DIVISION?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

• Position is to be filled in the following area(s):
  • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.

REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

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 closing date of this announcement.

QUALIFICATION REQUIREMENTS

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

BASIC REQUIREMENTS (IOR) ALL GRADES

EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

OR

COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

SPECIALIZED EXPERIENCE GS-14

In addition to meeting basic requirements, to be eligible for this position at this grade level, 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 identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
• Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
• Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP‑DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
• Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
• Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep‑learning neural networks.
• Experience using programming languages, query languages, data‑intelligence platforms, and data‑storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open‑source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
• Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business‑intelligence products.

You must also meet the following requirements:

MINIMUM AGE REQUIREMENT

Minimum age for federal employment is 18 years old, or at least 16 years old and have:

• Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
• Completed a formal vocational training program; or
• Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards