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Entry Level Behavioral Data Science Jobs in Springfield, IL

Centurion

Behavioral Health Technician (72894)

Lincoln, IL · On-site

$26 - $27.07/hr

Behavioral Health Technicians, also assist in the preparation and maintenance of records and data ... Bachelor's Degree in a Social Science required * Two years or more experience providing activities ...

Danaher

Digital Analyst Internships

Springfield, IL

$97K - $115K/yr

Supporting usability testing and interpreting user behavior data to recommend experience ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Centurion

Behavioral Health Technician (76645)

Lincoln, IL · On-site

$26 - $27.61/hr

Behavioral Health Technicians, also assist in the preparation and maintenance of records and data ... Bachelor's Degree in a Social Science required * Two years or more experience providing activities ...

Centurion

Behavioral Health Technician (68988)

Lincoln, IL · On-site

$26 - $27.07/hr

Behavioral Health Technicians, also assist in the preparation and maintenance of records and data ... Bachelor's Degree in a Social Science required * Two years or more experience providing activities ...

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$10

$19

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How much do entry level behavioral data science jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for entry level behavioral data science in Springfield, IL is $19.30, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Behavioral Data Science vs Entry Level Data Analyst?

AspectEntry Level Behavioral Data ScienceEntry Level Data Analyst
Required CredentialsBachelor's in Psychology, Data Science, or related fields; basic knowledge of statistics and programmingBachelor's in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch settings, tech companies, or consulting firms focusing on human behavior analysisBusiness environments, marketing firms, or finance departments analyzing data trends
Employer & Industry UsageOrganizations studying consumer behavior, user experience, or social sciencesCompanies seeking to interpret data for decision-making, reporting, and operational insights

Entry Level Behavioral Data Science focuses on understanding human behavior through data, often requiring knowledge of psychology and statistics. Entry Level Data Analysts primarily interpret and visualize data to support business decisions. While both roles require analytical skills, behavioral data science emphasizes behavioral insights, whereas data analysts focus on data reporting and visualization.

What are popular job titles related to Entry Level Behavioral Data Science jobs in Springfield, IL? For Entry Level Behavioral Data Science jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Behavioral Data Science jobs in Springfield, IL look for? The top searched job categories for Entry Level Behavioral Data Science jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Entry Level Behavioral Data Science jobs? Cities near Springfield, IL with the most Entry Level Behavioral Data Science job openings:
Entry Level Behavioral Data Science jobs near you
Behavioral Scientist - AI Trainer

Behavioral Scientist - AI Trainer

DataAnnotation

Springfield, IL • On-site, Remote

$60/hr

Full-time

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

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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