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Data Preprocessing Jobs in Illinois (NOW HIRING)

Senior Data AI Engineer

Chicago, IL · On-site

$118K - $141K/yr

Solid experience managing diverse data sources including preprocessing, cleansing, and verifying data integrity to meet data science and ML requirements * Demonstrated experience with machine ...

Machine Learning Tutor

Chicago, IL · Remote

$18 - $40/hr

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Showing results 21-40

Data Preprocessing information

What is data preprocessing?

Data preprocessing is the process of cleaning, transforming, and organizing raw data into a usable format for analysis or machine learning. It involves steps such as handling missing values, removing duplicates, normalizing or scaling data, and encoding categorical variables. Proper data preprocessing helps improve the quality and performance of predictive models by ensuring the data is accurate, consistent, and suitable for analysis.

What are the key skills and qualifications needed to thrive as a data preprocessing specialist, and why are they important?

To thrive as a Data Preprocessing Specialist, you need a strong background in statistics, data cleaning, and data transformation, often supported by a degree in computer science, data science, or a related field. Proficiency with tools such as Python (pandas, NumPy), SQL, and data visualization platforms is typically essential, along with familiarity with data management systems. Attention to detail, problem-solving abilities, and effective communication are standout soft skills in this position. These skills are crucial for ensuring high-quality, reliable datasets that underpin accurate data analysis and machine learning outcomes.

What are some common challenges faced in a data preprocessing role, and how can they be effectively managed?

Professionals in Data Preprocessing often encounter challenges such as handling incomplete or inconsistent data, managing large datasets, and ensuring data quality before analysis. Addressing these issues typically involves using specialized tools to automate data cleaning, establishing clear data validation rules, and collaborating closely with data engineers and analysts. Staying updated with best practices and leveraging scripting languages like Python or R can also streamline the preprocessing workflow, making it easier to deliver reliable and accurate datasets for downstream analysis.

What is the difference between Data Preprocessing vs Data Analysis?

AspectData PreprocessingData Analysis
Primary FocusCleaning, transforming, and preparing raw data for analysisInterpreting data to extract insights and support decision-making
Skills RequiredData cleaning, scripting, understanding of data formatsStatistical analysis, data visualization, critical thinking
Work EnvironmentData engineering teams, data science projectsBusiness intelligence, research, data science teams
Tools UsedPython, R, SQL, ETL toolsExcel, Tableau, R, Python, statistical software

While data preprocessing involves preparing raw data for analysis by cleaning and transforming it, data analysis focuses on interpreting the prepared data to uncover trends and insights. Both roles are essential in the data pipeline but serve different purposes in the data lifecycle.

What cities in Illinois are hiring for Data Preprocessing jobs?

Cities in Illinois with the most Data Preprocessing job openings:

Infographic showing various Data Preprocessing job openings in Illinois as of June 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% In-person job distribution.

Data Scientist - Mid Level active TS/SCI

Leidos

Glen Carbon, IL • On-site

$59K - $106K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 495 rated business services


Job description

Description

Leidos is actively seeking a Data Scientist to join our growing team in St. Louis, MO.

This interesting work requires staff qualified to have a basic understanding of GEOINT integration work but also act as a Data Scientist for NGA. The work requires a basic understanding of GEOINT from collection, exploitation, analysis and product delivery capabilities.

Primary Responsibilities

  • Provide data management and automation support to a specialized imagery and geospatial analysis division within a government or enterprise organization.

  • Assist with developing a modernized data management workflow supporting multiple organizational programs.

  • Collaborate with senior data scientists, database developers, and analysts to implement and sustain updated database processes and workflows.

  • Research and document existing data management practices, procedures, and system dependencies.

  • Help design improved workflows with automation incorporated from the outset.

  • Ensure new workflows integrate effectively with modern database applications and enterprise-level application programming interfaces.

  • Enhance existing models and simulations involving production, monitoring, and change-detection data.

  • Support additional data management and modernization initiatives as required.

  • Develop code and scripts, including the conversion of legacy applications written in multiple programming languages into Python-based solutions.

  • Implement enterprise database management standards, processes, and controls.

  • Automate repetitive data preparation, validation, transformation, and reporting tasks.

  • Deliver technical solutions that apply industry best practices to modernize existing operational processes.

  • Conduct data investigations using applied statistics, algorithm development, and collaboration with subject-matter experts.

  • Translate complex analytical findings and operational realities into clear explanations for non-technical audiences.

  • Create visualizations and dashboards from diverse data sources that are accessible and understandable to non-technical users.

Basic Qualifications

  • 3-6 years’ experience in programming languages such as Python or R (statistical analysis), data preprocessing, and basic machine learning algorithms.

  • Active TS/SCI with willingness to be approved for a Polygraph

  • Bachelor’s Degree in related field (additional years of experience can be considered in lieu of degree)

  • Working knowledge of ArcGIS, ArcSDE, ArcPro

  • Familiarity with: common data science libraries and frameworks, plus:

    • PostgreSQL, Postgis, PgAdmin

    • Application programming interfaces (APIs)

Preferred Qualifications

  • Experience with workflow management systems, such as Flowable, and

  • Working knowledge of MapInfo/ MapBasic GIS/ database software

  • Experience with data visualization software such as Tableau

#GEOINTMISSION

 #NSBA

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:July 14, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $59,150.00 - $106,925.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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