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Entry Level Nsa Data Science Jobs in Chicago, IL

Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Strong knowledge of data analysis, statistical techniques, and data visualizations Experience ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Job Title: Entry-Level Data Analyst Location: Chicago, IL Job Type: Only W2 · Collect, clean, and ... Qualifications: · Bachelor's degree in computer science, Data Analytics, Statistics, Mathematics ...

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Preferred Bachelor's degree in a related field (Computer Science, Data Science, Statistics, Math ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Receive mentorship from diverse professionals in science, engineering, and consulting, applying ...

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Entry Level Nsa Data Science information

What is the difference between Entry Level Nsa Data Science vs Entry Level Nsa Data Analysis?

AspectEntry Level Nsa Data ScienceEntry Level Nsa Data Analysis
Required CredentialsBachelor's in Data Science, Computer Science, or related field; some roles may prefer certifications in data analysis or programmingBachelor's in Data Analysis, Statistics, or related field; certifications like Excel, SQL, or Tableau are common
Work EnvironmentCollaborative teams, research-focused, often in tech or government agenciesOperational settings, reporting, and visualization tasks within government or tech sectors
Employer & Industry UsageNSA, government agencies, tech companiesNSA, government agencies, intelligence sectors

Entry Level NSA Data Science roles focus on developing models and algorithms to interpret complex data, requiring programming and statistical skills. Entry Level NSA Data Analysis positions emphasize data interpretation, reporting, and visualization. Both roles are vital in government and tech sectors but differ mainly in technical depth and scope.

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The most popular types of Nsa Data Science jobs in Chicago, IL are:

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For Entry Level Nsa Data Science jobs in Chicago, IL, the most frequently searched job titles are:

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Infographic showing various Entry Level Nsa Data Science job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

[Active Hring] Entry-Level Data Scientist at KEYENCE CORPORATION Itasca, IL

Itasca, IL • On-site

CDL Labor Logistics
Trucking • 51 - 200 employees

$66 - $103.28/hr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Entry-Level Data Scientist at KEYENCE CORPORATION. Location: Itasca, IL.

Join KEYENCE as an Entry-Level Data Scientist. Location: Keyence U.S. Headquarters – Itasca, IL. Total Compensation (Base + Bonus): $103,283. As a Data Scientist, you’ll be part of the Data Science arm of the Data Analytics and Governance team, helping to drive innovation and efficiency across the business. You’ll develop automation solutions, optimize infrastructure, and build analytical models that inform strategy and uncover new opportunities.

  • Optimize and manage relational databases
  • Maintain and enhance AWS cloud infrastructure
  • Develop automation solutions for complex business challenges
  • Build and deploy analytical models using DataIku
  • Support additional projects and initiatives as assigned
Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Informatics, Statistics, Math, or related field
  • 1–2 years of experience in data science or advanced analytics
  • Experience with AWS cloud infrastructure
  • Proficiency in SQL, Python or R
  • Experience with machine learning model development and optimization
  • Strong organizational skills and attention to detail
  • Self‑motivated with a proactive approach to learning
  • Familiarity with Linux troubleshooting, Scala, HTML, Java, Tableau, SSH, and VPCs is a plus
What We Offer
  • Base Salary: $66,650
  • Bonus Target: $36,633 annually (performance‑based), paid quarterly
  • Benefits: Medical, dental, vision, 401K match, ~4 weeks PTO in first full year
  • Career Growth: Promote‑from‑within culture with base and bonus increases
Why KEYENCE?
  • Recognized by Forbes as one of the World’s Most Innovative Companies
  • A global leader in factory automation and quality assurance solutions
  • Operating profit of over 40% for 25 consecutive years
  • A culture that invests in your success from day one

KEYENCE is an at‑will, Equal Opportunity Employer.

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