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Data Scientist

Job in North Little Rock, Pulaski County, Arkansas, 72114, USA
Listing for: Arkansas.gov
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 80414 - 131201 USD Yearly USD 80414.00 131201.00 YEAR
Job Description & How to Apply Below
Position: DATA SCIENTIST

position information

position number:

county: pulaski

posting end date: january 11, 2026

anticipated starting salary: $80,414.05

the mission of the department of military is to provide a professional staff of arkansas state employees who help maintain and improve the readiness of arkansas national guard units through effective fiscal management of state resources, human resource management, and quality administration of arkansas national guard programs.

the department of the military is a drug-free workplace, this includes medical marijuana which is still considered a controlled substance under federal law. (drug-free workplace act of 1988)

job series: data analytics – career-path

classification: data scientist

class code: idn
03p

pay grade: ist
08

salary range: $80,414 - $131,201

job summary

the data scientist in the state of arkansas will apply advanced data analysis techniques to solve complex problems and assist in policy decision-making. This role is designed for individuals with advanced skills in machine learning, predictive modeling, and statistical analysis, and it supports state agencies in making data-driven decisions to improve public services. The data scientist will work with large datasets, develop algorithms, and collaborate with other state departments to integrate data into decision-making processes.

primary

responsibilities
  • develop predictive models and machine learning algorithms to analyze large datasets and uncover trends, patterns, and insights.
  • collaborate with data analysts, developers, and government departments to understand data requirements and deliver actionable solutions.
  • clean and preprocess data, ensuring data quality and integrity for modeling purposes.
  • use statistical analysis techniques to provide insights and support policy development for state government programs.
  • create data-driven reports and visualizations that communicate findings clearly to non-technical stakeholders.
  • assist in the design and implementation of data collection methodologies, ensuring data is consistent and aligned with the state's needs.
  • stay updated with the latest data science trends and technologies, applying new tools to improve analysis and modeling techniques.
knowledge and skills
  • proficiency in statistical software, machine learning libraries (e.g., scikit-learn, tensor flow), and data visualization tools.
  • strong analytical and problem-solving skills with the ability to work with large, complex datasets.
  • ability to write clear, detailed reports and present findings effectively to stakeholders.
  • advanced statistical analysis, machine learning algorithms, and data modeling techniques.
  • data mining, natural language processing, and ai-based predictive modeling.
  • programming languages such as python, r, or similar tools for data science.
  • ability to work independently and as part of a team, with strong collaboration skills.
  • ability to translate complex data findings into actionable insights for government decision-makers.
  • ability to manage and analyze big data effectively.
minimum qualifications

master’s degree in data science, computer science, or related field; or a bachelor’s degree in data science, computer science, or related field plus one year of relevant experience.

licensure/certifications

n/a other job related education and/or experience may be substituted for all or part of these basic requirements, except for certification or licensure requirements, upon approval of the qualifications review committee.

equal employment opportunity statement

the state of arkansas is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, pregnancy, age, disability, citizenship, national origin, genetic information, military or veteran status, or any other status or characteristic protected by law.

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