1

Computer Science Data Science Jobs in Louisiana (NOW HIRING)

Data Science Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Science Tutor

New Orleans, LA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

next page

Showing results 1-20

Computer Science Data Science information

See Louisiana salary details

$32.1K

$105K

$168K

How much do computer science data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for computer science data science in Louisiana is $104,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $116,300.00 per year, depending on experience, location, and employer.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What are popular job titles related to Computer Science Data Science jobs in Louisiana?

For Computer Science Data Science jobs in Louisiana, the most frequently searched job titles are:

What job categories do people searching Computer Science Data Science jobs in Louisiana look for?

The top searched job categories for Computer Science Data Science jobs in Louisiana are:

Infographic showing various Computer Science Data Science job openings in Louisiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $104,957 per year, or $50.5 per hour.

Full-time

Re-posted 14 hours ago


Job description

Posting Details
Posting Summary
Position Title
Data Scientist
FLSA
Exempt
Department
Department Of Chemistry
Job Summary
Xavier University of Louisiana is accepting applications for a Data Scientist. The successful candidate will assist the facility users and research project investigators with analysis, visualization, interpretation and organization of data for publications and grant applications. He/she will also be involved in providing computational/data science solutions on collaborative projects with researchers at partner institutions, such as Tulane University, Ochsner Health System and the Louisiana State University Health Sciences Center New Orleans. AA/EOE
Minimum Qualifications
Requirements:
• PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/Bioinformatics/Public Health or other quantitative sciences;
• Experience in the development of statistical machine learning methods and/or data science algorithms/pipelines
• Solid programming skills, and the ability to work independently.
• Good written and oral communication skills,
• Additional experience in large-scale medical records/social/behavioral data analyses would be a plus.
Preferred Qualifications
• PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/Bioinformatics/Public Health or other quantitative sciences;
• Experience in the development of statistical machine learning methods and/or data science algorithms/pipelines
• Solid programming skills, and the ability to work independently.
• Good written and oral communication skills,
• Additional experience in large-scale medical records/social/behavioral data analyses would be a plus.
Special Requirements Summary
Work Hours
Monday thru Friday 8:00am until 5:00pm
KSA's
Knowledge, Education, Experience, and Proficiencies
PhD degree in Computer Science/Data Science/(Bio)Statistics/Applied Mathematics/ Bioinformatics/Public Health or other quantitative sciences
Essential Duties and Responsibilities
Essential Duties and Responsibilities Description
The successful candidate will assist the facility users and research project investigators with analysis, visualization, interpretation and organization of data for publications and grant applications. He/she will also be involved in providing computational/data science solutions on collaborative projects with researchers at partner institutions, such as Tulane University, Ochsner Health System and the Louisiana State University Health Sciences Center New Orleans.
Posting Detail Information
Posting Number
S368P
Number of Vacancies
1
Desired Start Date
03/04/2024
Position End Date (if temporary)
Posting Date
02/06/2024
Application Review Date
Closing Date
Open Until Filled
Yes
Special Instructions to Applicants
Attach online only your resume, cover letter, transcripts and contact information for 3 references.
Quicklink for Posting
https://jobs.xula.edu/postings/2990
About Xavier
About Xavier
Founded in 1925 by Saint Katharine Drexel and the Sisters of the Blessed Sacrament, Xavier is Catholic and historically Black. Located in New Orleans, the ultimate purpose of the University is to contribute to the promotion of a more just and humane society by preparing its students to assume roles of leadership and service in a global society. This preparation takes place in a diverse learning and teaching environment that incorporates all relevant educational means, including research and community service.