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Junior Data Scientist

Job in Arlington, Tarrant County, Texas, 76000, USA
Listing for: Intel Corporation
Full Time position
Listed on 2026-02-27
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

At Jacobs, we’re committed to reinventing tomorrow by tackling the world’s most critical challenges. We strive to create thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific breakthroughs, and cutting-edge manufacturing, transforming abstract ideas into realities that benefit the world.

Job Description

Jacobs is seeking a dedicated Junior Data Scientist to join our Advisory Solutions Group, specifically within the Data Analytics Practice focusing on Federal clients. This role is pivotal in a specialized team that delivers data-driven analytical solutions to a variety of Federal organizations, aiming to improve operational efficiency and management effectiveness.

As a Junior Data Scientist, you will be involved in:

  • Data Collection: Gathering and organizing data from various sources.
  • Database Architecture Development: Designing and implementing database structures for efficient data storage and retrieval.
  • Statistical Analysis: Utilizing statistical methods to analyze data, identify trends, and generate insights.
  • Visualization and Reporting: Creating compelling visualizations and reports to communicate findings effectively to stakeholders.
  • You will contribute to Jacobs’ competitive advantage through analytics and data science, supporting both internal projects and external client requirements. This role is ideal for early-career professionals or recent graduates with a foundational skillset in data management, statistics, programming languages, and a keen interest in business process engineering and system integration.

    This position offers the chance to be involved in a wide range of analytical services, from basic data processing to complex, interactive decision-support systems tailored to client needs. Candidates are expected to be enthusiastic about data and analytics, eager to develop new data practices/systems, and identify business opportunities. The role necessitates effective collaboration with internal teams and clients, providing strategic insights and solutions within defined project or organizational parameters.

    Key Responsibilities
  • Contribute to data-driven solutions for Federal clients, enhancing operational efficiency and management effectiveness.
  • Support both internal projects and external client requirements through data analysis and insights.
  • Participate in data collection, database architecture development, statistical analysis, and visualization/reporting.
  • Collaborate with internal teams and clients, providing strategic insights and solutions.
  • Demonstrate enthusiasm for developing new data practices/systems and identifying business opportunities.
  • Requirements
    • Bachelor’s Degree in a quantitative discipline such as Computer Science, Data Science, Data Engineering, Artificial Intelligence, Applied Mathematics, Statistics, or related field, from an accredited university.
    • 2 years of experience in data science or a related field, including academic projects or internships focusing on data analytics; fresh graduates are encouraged to apply.
    • Basic proficiency with Python, Type Script, or other programming languages.
    • Understanding of SQL and relational databases.
    • Knowledge of or exposure to Business Intelligence tools such as Tableau and Power

      BI.
    • Strong problem-solving capabilities and a team-oriented mindset.
    • Eagerness to learn and apply new technical skills in a fast-paced environment.
    • Ability to travel up to 20% of the time CONUS and OCONUS.
    • Ability to obtain a U.S. Government Common Access Card.
    • United States Citizenship
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