ZipRecruiter

Log In

2

Entry Level Behavioral Data Science Jobs in Baton Rouge, LA

GEO Academies

Science Teacher 6-8 Grade

Baker, LA · On-site

$47K - $61K/yr

Participation in all TAP requirements, focusing on data-driven instruction * Create an inviting ... Establish and enforce rules for behavior and procedures for maintaining order among the students ...

GEO ACADEMIES LOUISIANA

Science Teacher 6-8 Grade

Baker, LA · On-site

$47K - $61K/yr

Participation in all TAP requirements, focusing on data-driven instruction * Create an inviting ... Establish and enforce rules for behavior and procedures for maintaining order among the students ...

next page

Showing results 1-20

All JobsBehavioral Data Science JobsEntry Level Behavioral Data Science JobsEntry Level Behavioral Data Science Jobs in Baton Rouge, LA

Entry Level Behavioral Data Science information

See Baton Rouge, LA salary details

$10

$18

$27

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

As of Jun 15, 2026, the average hourly pay for entry level behavioral data science in Baton Rouge, LA is $18.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $21.01 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 the most commonly searched types of Behavioral Data Science jobs in Baton Rouge, LA? The most popular types of Behavioral Data Science jobs in Baton Rouge, LA are:
What are popular job titles related to Entry Level Behavioral Data Science jobs in Baton Rouge, LA? For Entry Level Behavioral Data Science jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Entry Level Behavioral Data Science jobs in Baton Rouge, LA look for? The top searched job categories for Entry Level Behavioral Data Science jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Entry Level Behavioral Data Science jobs? Cities near Baton Rouge, LA with the most Entry Level Behavioral Data Science job openings:
Entry Level Behavioral Data Science jobs near you
Associate Data Engineer - Client Innovation Center (Entry Level)

Associate Data Engineer - Client Innovation Center (Entry Level)

IBM

Baton Rouge, LA • On-site

$15.25 - $20/hr

Full-time

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

IBM rating

7.9

Company rating: 7.9 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

99th of 190 rated software companies

Job description

Job Summary:
IBM Consulting Client Innovation Centers (CICs) are environments where technologists build real solutions for clients. The Associate Data Engineer role is entry-level, focusing on supporting the development and maintenance of data pipelines and platforms while collaborating with experienced practitioners.
Responsibilities:
• Support the development and maintenance of data pipelines used for analytics, reporting, and machine learning
• Assist with extracting, transforming, and loading (ETL/ELT) data from multiple sources into data platforms
• Contribute to data cleansing, validation, and transformation activities using Python and SQL
• Help prepare datasets for downstream consumption by analytics and data science teams
• Support batch and, where applicable, near-real-time data processing workflows under guidance
• Collaborate with data engineers, data scientists, and other team members in Agile delivery environments
• Build data engineering skills through training, mentorship, and hands-on delivery experience
• Work with functional and technical team members to help integrate data solutions into client business environments
Qualifications:
Required:
• Strong foundation in computer science fundamentals, including data structures and algorithms
• Strong analytical and problem-solving skills with attention to data quality and reliability
• Comfortable working onsite in a collaborative, team-based environment
• Ability to work effectively in a technology-driven consulting environment where tools, platforms, and client needs evolve over time
• Strong analytical and problem-solving skills, with the ability to approach complex tasks using structured, logical thinking
• Ability to learn new systems and technologies quickly and apply them in a delivery setting
• Proficiency in Python (preferred) or another programming language used for data processing
• Hands-on experience using data manipulation tools such as pandas, NumPy, and SQL, gained through coursework, labs, projects, or internships
• Ability to write clear, maintainable code for data transformation and processing tasks
• Understanding of ETL/ELT concepts and how data moves from source systems to consumption layers
• Familiarity with relational databases and SQL for querying and data manipulation
• Basic understanding of data modeling concepts such as schemas, normalization, or dimensional models
• Exposure to cloud-based data or analytics platforms (e.g., AWS, Azure, or Google Cloud) through coursework, labs, or projects
• Familiarity with core cloud data services such as object storage, databases, or analytics services
• Ability to translate business or functional requirements into technical solutions, with guidance from senior team members
• Comfortable working onsite in a collaborative, team-based environment
• Strong willingness to learn, accept feedback, and continuously improve
• Familiarity with generative AI concepts, including basic modeling approaches, responsible use, and ethical considerations, gained through coursework, projects, or self-study
Preferred:
• Master's Degree
• Exposure to distributed data processing tools such as Apache Spark or PySpark
• Familiarity with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery)
• Exposure to streaming or event-based data concepts
• Familiarity with version control tools such as Git
• Basic awareness of how data engineering supports machine learning workflows
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.

What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

Social media

FacebookTwitter

View All IBM Jobs

Apply