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Data Science Jobs in Baton Rouge, LA (NOW HIRING)

GEO Academies

6th/7th Grade Science Teacher

Baton Rouge, LA · On-site

$38K - $47K/yr

... Science, Language Arts, Health, and Mathematics based on state standards * Create an inviting ... tracking data, providing daily feedback, weekly assessments, and occasional parent/teacher ...

Varsity Tutors

TEAS Tutor

Baton Rouge, LA · Remote

$40/hr

Guides students through interpreting scientific data, converting measurement units, solving algebraic equations, analyzing sentence structure, and managing time across four test sections. Emphasizes ...

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All JobsData Science JobsData Science Jobs in Baton Rouge, LA

Data Science information

See Baton Rouge, LA salary details

$36K

$117.9K

$188.7K

How much do data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science in Baton Rouge, LA is $117,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $130,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Baton Rouge, LA? The most popular types of Data Science jobs in Baton Rouge, LA are:
What are popular job titles related to Data Science jobs in Baton Rouge, LA? For Data Science jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Baton Rouge, LA look for? The top searched job categories for Data Science jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Data Science jobs? Cities near Baton Rouge, LA with the most Data Science job openings:
Data Science jobs near you

Senior Application Administrator (SR-5269193-ADM)

LMG Technology Services LLC

Baton Rouge, LA • Remote

Other

Posted 16 days ago

Job description

Remote - United States

I.  DESCRIPTION OF SERVICES

The scope of the proposed services will include the following:

  • Select and manage a team of data modernization and informatics staff
  • Lead the team's strategic planning and implementation process 
  • Manage data infrastructure to improve data integration, enhance interoperability, assure effective data governance, and support the development of reporting and visualizations
  • Ensure modernization efforts achieve improved timeliness and quality of data, better coordination of data activities and systems, reduction of data burden, and integration of emerging and open-source technologies where possible 
  • Coordinate with experts across the agency to assess the agency data environment and identify improvements required for the development of an effective data warehouse and data integration strategy

II.  CANDIDATE SKILLS AND QUALIFICATIONS

Years

Required/Preferred

Experience

10

Required

Professional experience in health or related data or systems management  

2

Preferred

Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data infrastructures

N/A

Preferred

Master's degree in public health, health informatics, data science, or related field. 

Note: Expected Start Date 07/01/2026 and Expected End Date 06/30/2027. May not be extended beyond June 30, 2029.

Hours worked should be within the State's core hours of 7:00 AM CT to 6:00 PM CT. In addition, Contractor personnel may be required to work on State holidays, weekends and hours outside of the State's core business hours in order to meet critical deadlines.

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