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Entry Level Behavioral Data Scientist 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 · 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 ...

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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All JobsBehavioral Data Scientist JobsEntry Level Behavioral Data Scientist JobsEntry Level Behavioral Data Scientist Jobs in Springfield, IL

Entry Level Behavioral Data Scientist information

See Springfield, IL salary details

$45.6K

$163.6K

$241.3K

How much do entry level behavioral data scientist jobs pay per year?

As of Jul 29, 2026, the average yearly pay for entry level behavioral data scientist in Springfield, IL is $163,551.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Behavioral Data Scientist, and why are they important?

To thrive as an Entry Level Behavioral Data Scientist, you need a solid background in statistics, behavioral science, and data analysis, often supported by a degree in psychology, data science, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and statistical software such as SPSS or SAS is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights. These combined skills are crucial for accurately interpreting behavioral data and informing evidence-based decisions within organizations.

What types of projects do entry level behavioral data scientists typically work on, and how do they collaborate with other teams?

Entry level behavioral data scientists often work on projects involving the analysis of user or customer behaviors, such as exploring engagement patterns, conducting A/B tests, or building predictive models for behavior outcomes. They frequently collaborate with product managers, UX researchers, and engineers to define data requirements, interpret findings, and implement data-driven solutions. This cross-functional environment helps new data scientists develop both technical and communication skills while gaining insight into how data informs business decisions.

What is an Entry Level Behavioral Data Scientist?

An Entry Level Behavioral Data Scientist is a professional who applies data science techniques to analyze and interpret human behaviors, often using data from psychology, marketing, or social science studies. They typically work with large datasets to identify patterns, build predictive models, and provide insights into how people think and act. Entry-level roles focus on supporting research and analysis tasks, learning industry tools, and collaborating with more senior data scientists. This position is ideal for recent graduates with a background in data science, statistics, psychology, or related fields.
What are popular job titles related to Entry Level Behavioral Data Scientist jobs in Springfield, IL? For Entry Level Behavioral Data Scientist jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Entry Level Behavioral Data Scientist jobs in Springfield, IL look for? The top searched job categories for Entry Level Behavioral Data Scientist jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Entry Level Behavioral Data Scientist jobs? Cities near Springfield, IL with the most Entry Level Behavioral Data Scientist job openings:
Entry Level Behavioral Data Scientist jobs near you
Infographic showing various Entry Level Behavioral Data Scientist job openings in Springfield, IL as of July 2026, with employment types broken down into 2% As Needed, 76% Full Time, 18% Part Time, and 4% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $163,551 per year, or $78.6 per hour.
Discovery Project Manager

Discovery Project Manager

Lorhan Corporation

Springfield, IL • On-site

Other

Posted 6 days ago

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

— spanning search, browse, navigation, filtering, recommendations, and personalization

— 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 — 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 — 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

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