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Entry Level Behavioral Data Science Jobs in Springfield, IL

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 ...

Digital Analyst Internships

Springfield, IL ยท On-site

$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 ...

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 ...

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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Entry Level Behavioral Data Science information

See Springfield, IL salary details

$10

$19

$28

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

As of Jul 31, 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:

Discovery Project Manager

Lorhan Corporation

Springfield, IL โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Hello,

I have an immediate opening for Discovery Project Manager at Springfield, IL.

Position: Discovery Product Manager

Location: Springfield, IL

Duration: 6 months+

Job Summary

We are seeking an experienced Discovery Product Manager with a proven track record in shaping findability features and search-driven digital experiences.

The ideal candidate will own the end-to-end product strategy for discovery

โ€” spanning search, browse, navigation, filtering, recommendations, and personalization

โ€” working closely with engineering, design, data, and business teams to help customers find the right products faster and with greater confidence.

 

Key Responsibilities

  1. Define and own the product vision, strategy, and roadmap for discovery โ€” including search relevance, browse navigation, filtering, faceting, and product recommendations.
  2. Shape and prioritize findability features grounded in customer behavior data, search analytics, and business objectives.
  3. Partner with search engineering and data science teams to improve ranking algorithms, query understanding, and relevance tuning.
  4. Translate complex discovery problems (zero-result searches, low-conversion browse paths, poor filter usability) into clear, actionable product requirements.
  5. Drive end-to-end product lifecycle management for discovery features โ€” from ideation and experimentation through launch and continuous optimization.
  6. Define and track discovery-specific KPIs: search success rate, findability rate, zero-result rate, click-through rate, add-to-cart from search, and browse conversion.
  7. Collaborate with UX to design intuitive search and browse experiences that reduce friction and improve product discoverability.

If anyone is interested, do respond me to nag @ lorhancorp dotcom; i can share the complete JD. 

Thanks, 

NAG N