Mathematical Statistician (Data Scientist) or Statistician (Data Scientist) Interdisciplinary

U.S. Secretary of the Treasury; Brockton (MA); On-site; USD 57,000 - 92,000; Full time

Job summary

An established industry player is seeking a Mathematical Statistician or Statistician to join their dynamic team in Brockton. This role offers the opportunity to work on cutting-edge data science projects, utilizing advanced statistical techniques and programming skills to analyze and interpret complex datasets. You will engage in data mining processes, machine learning, and natural language processing, contributing to impactful decision-making within the organization. If you are passionate about statistics and data science, and eager to take on new challenges, this position is perfect for you. Join a forward-thinking agency committed to excellence and innovation in the field of data analysis.

Qualifications

• Degree with 15 semester hours in statistics and additional coursework in sciences.
• Experience in statistical work including data collection and analysis.

Responsibilities

• Design and execute data science projects using data mining models.
• Prepare and analyze structured and unstructured datasets.

Skills

Data Mining

Machine Learning

Text Analytics

Natural Language Processing

Statistical Analysis

Programming (R, Python, SQL, JAVA)

Education

Bachelor's degree in Statistics or Mathematics

Master's degree in Mathematics or Statistics

Tools

Data Visualization Tools

Sybase

Oracle

Job description

Mathematical Statistician (Data Scientist) or Statistician (Data Scientist) Interdisciplinary

Pay $57118.00 - $91873.00 / year

Location Brockton/Massachusetts

Employment type Full-Time

Job Description

• Req#: 732567600

Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information.

Duties

WHAT IS THE SMALL BUSINESS SELF EMPLOYED (SB/SE) DIVISION?
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:
SB/SE Operations Support, Operations Support Business Development Office

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.

Requirements

Qualifications

Federal experience is not required. The experience may have been gained in the public sector, private sector or Volunteer Service. 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:

BASIC REQUIREMENTS:

GS-1530 Statistician (Data Scientist) Basic Requirements:
You must have 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.

OR

Combination of education and experience -- courses as shown 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.

GS-1529 Mathematical Statistician (Data Scientist) Basic Requirements:
You must have a degree that included courses in mathematics and statistics totaling at least 24 semester hours. This course work must have included a minimum of 12 semester hours of mathematics and 6 semester hours were in statistics.

OR

A combination of education and experience that includes at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as described above; and Experience that showed evidence of statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying known statistical techniques to data such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.

In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:

SPECIALIZED EXPERIENCE GS-09: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-7 grade level in the Federal service. Specialized experience for this position includes at least three of the following: Experience using data mining process models (such as CRISP-DM, SEMMA, etc.,) to design and execute data science project. Experience preparing and analyzing structured and unstructured datasets to explore and evaluate data science centric models. Experience applying a range of analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory, link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the exploration. Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project. Experience using tools for data visualization (graphs, tables, charts, etc.,) and end-user business intelligence.

OR

You may substitute education for specialized experience specialized experience as follows: Two (2) full academic years of progressively higher level graduate education in Mathematics, statistics or related field of study from an accredited college or university. OR master's or equivalent degree in Mathematics, statistics or related field of study from an accredited college or university.

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