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Data Science Entry Jobs in Illinois (NOW HIRING)

Data Entry, Quality & Integrity * Monitor data entry across program sites to ensure accuracy ... Bachelor's degree required in data science, social sciences, information systems, public health, or ...

Master Data Specialist

Chicago, IL

$17.50 - $23.50/hr

Data & Knowledge Management * Build, maintain, and continuously improve a centralized digital ... Work closely with Food Scientists, Product Developers, and culinary teams to capture formulation ...

ASSOCIATE, DATA ENGINEER

Chicago, IL · On-site

$85K - $110K/yr

Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in data engineering for cross-functional business processes involving multiple IT systems. * Experience ...

ASSOCIATE, DATA ENGINEER

Chicago, IL

$16.50 - $21.50/hr

Bachelor's degree in computer science, engineering, or a similar field * 1+ years of experience in data engineering for cross-functional business processes involving multiple IT systems. * Experience ...

Technical Product Manager

Chicago, IL · Remote

$88K - $121K/yr

... data entry application. The role will also coordinate and communicate with many other parts of the organization, including our Data Science team, Services team, and Sales to help them better ...

Technical Product Manager

Chicago, IL · Remote

$88K - $121K/yr

... data entry application. The role will also coordinate and communicate with many other parts of the organization, including our Data Science team, Services team, and Sales to help them better ...

Technical Product Manager

Chicago, IL · Remote

$88K - $121K/yr

... data entry application. The role will also coordinate and communicate with many other parts of the organization, including our Data Science team, Services team, and Sales to help them better ...

VP, Reserving Innovation & Data

Chicago, IL · Hybrid

$200K - $250K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent #LI-LH1 #LI-HYBRID For individuals assigned or hired to work in the location ...

VP, Reserving Innovation & Data

Chicago, IL · Hybrid

$200K - $250K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent #LI-LH1 #LI-HYBRID For individuals assigned or hired to work in the location ...

Showing results 21-40

Data Science Entry information

See Illinois salary details

$10

$18

$27

How much do data science entry jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data science entry in Illinois is $18.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.20 per hour, depending on experience, location, and employer.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring foundational skills in programming, statistics, and data analysis tools like Python or R. These roles typically serve as starting points for careers in data science and may require relevant internships, coursework, or certifications.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

Is it possible to get a data science entry-level job with no experience?

Data science entry-level positions often require some foundational skills in programming, statistics, and data analysis, but many employers consider candidates with relevant coursework, certifications, or personal projects even without formal work experience. Building a portfolio with projects using tools like Python, R, or SQL can improve chances of securing such roles. Internships and apprenticeships also provide pathways for those new to the field.
Infographic showing various Data Science Entry job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,250 per year, or $18.9 per hour.

Full-time

Re-posted 3 days ago


Job description

Position Summary

The Data Specialist is responsible for overseeing all aspects of data management and reporting for a citywide, 24/7 shelter intake and transportation program. This role ensures accurate, timely, and secure data collection, analysis, and reporting in compliance with program requirements, funder mandates (e.g., DFSS), and best practices for performance tracking. The ideal candidate will have strong analytical and project management skills and a commitment to using data to drive continuous improvement and equitable outcomes. Experience with systems such as The Grove and alignment with the DFSS One System initiative is essential.

Key Responsibilities

  1. Data Systems Management
    • Oversee day-to-day use and integrity of data systems, including HMIS, The Grove, and internal tools supporting the DFSS One System framework.
    • Maintain data dictionaries, standard operating procedures, and training materials for system users.
    • Coordinate the setup of dashboards for intake, transportation, diversion, and incident tracking.
  2. Data Entry, Quality & Integrity
    • Monitor data entry across program sites to ensure accuracy, completeness, and timeliness.
    • Conduct regular data audits and validation checks; resolve discrepancies proactively.
    • Train staff on data protocols, privacy standards, and use of The Grove and HMIS platforms.
  3. Reporting & Analysis
    • Prepare and submit required reports to DFSS and City partners, including real-time utilization, shelter availability, transportation logs, and outcome metrics.
    • Analyze trends to inform operations, such as service volume, geographic needs, and exit outcomes.
    • Develop dashboards and summaries for leadership and frontline use to drive performance.
  4. Compliance & Security
    • Ensure compliance with all data privacy requirements including HIPAA, DFSS, and internal agency policies.
    • Manage system access levels and ensure users are appropriately trained and credentialed.
    • Prepare documentation for audits and funder reviews; support real-time data sharing where required.
  5. Collaboration & Capacity Building
    • Coordinate with DFSS, shelter partners, and City stakeholders to ensure shared data alignment with the One System initiative.
    • Train internal teams on system updates and new tools; foster a culture of data-driven decision-making.
    • Participate in working groups related to data integration and citywide crisis response.

      Position Summary

      The Data Manager is responsible for overseeing all aspects of data management and reporting for a citywide, 24/7 shelter intake and transportation program. This role ensures accurate, timely, and secure data collection, analysis, and reporting in compliance with program requirements, funder mandates (e.g., DFSS), and best practices for performance tracking. The ideal candidate will have strong analytical and project management skills and a commitment to using data to drive continuous improvement and equitable outcomes. Experience with systems such as The Grove and alignment with the DFSS One System initiative is essential.

      Key Responsibilities

    • Data Systems Management
      • Oversee day-to-day use and integrity of data systems, including HMIS, The Grove, and internal tools supporting the DFSS One System framework.
      • Maintain data dictionaries, standard operating procedures, and training materials for system users.
      • Coordinate the setup of dashboards for intake, transportation, diversion, and incident tracking.
    • Data Entry, Quality & Integrity
      • Monitor data entry across program sites to ensure accuracy, completeness, and timeliness.
      • Conduct regular data audits and validation checks; resolve discrepancies proactively.
      • Train staff on data protocols, privacy standards, and use of The Grove and HMIS platforms.
    • Reporting & Analysis
      • Prepare and submit required reports to DFSS and City partners, including real-time utilization, shelter availability, transportation logs, and outcome metrics.
      • Analyze trends to inform operations, such as service volume, geographic needs, and exit outcomes.
      • Develop dashboards and summaries for leadership and frontline use to drive performance.
    • Compliance & Security
      • Ensure compliance with all data privacy requirements including HIPAA, DFSS, and internal agency policies.
      • Manage system access levels and ensure users are appropriately trained and credentialed.
      • Prepare documentation for audits and funder reviews; support real-time data sharing where required.
    • Collaboration & Capacity Building
      • Coordinate with DFSS, shelter partners, and City stakeholders to ensure shared data alignment with the One System initiative.
      • Train internal teams on system updates and new tools; foster a culture of data-driven decision-making.
      • Participate in working groups related to data integration and citywide crisis response.

Qualifications

  • Bachelor's degree required in data science, social sciences, information systems, public health, or a related field.
  • Minimum 3-5 years of experience in data management, performance evaluation, or systems operations.
  • Strong proficiency in HMIS, Excel, Power BI, The Grove, or comparable platforms.
  • Exceptional attention to detail, documentation habits, and ability to analyze large datasets.
  • Proven ability to develop and deliver data trainings and protocols to non-technical staff.
  • Knowledge of privacy regulations and experience managing sensitive data in human services.
  • Ability to work independently and cross-functionally under tight deadlines.

Successful background check and required health clearances.