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

Data Systems Engineer

Baton Rouge, LA · On-site

$100 - $125/hr

Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience * 5+ years of experience writing complex SQL queries and working with ...

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience * 5+ years of experience writing complex SQL queries and working with ...

The Orchestration team manages platforms within Insights Delivery Technology organization and offers self-service solutions designed to empower engineers, data scientists, and analysts to seamlessly ...

Records Analyst

Baton Rouge, LA · On-site

$60 - $80/hr

Access Sciences Corporation is an employee‑owned, nationwide professional services firm ... data gathering sessions with stakeholders to assess records management needs. * Help compile and ...

Access Sciences Corporation is an employee-owned, nationwide professional services firm ... data gathering sessions with stakeholders to assess records management needsHelp compile and ...

Access Sciences Corporation is an employee-owned, nationwide professional services firm ... data gathering sessions with stakeholders to assess records management needs * Help compile and ...

Access Sciences Corporation is an employee-owned, nationwide professional services firm ... data gathering sessions with stakeholders to assess records management needs * Help compile and ...

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Weekend Data Science information

See Baton Rouge, LA salary details

$36K

$117.9K

$188.7K

How much do weekend data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for weekend 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 is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

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 Weekend Data Science jobs in Baton Rouge, LA?

For Weekend Data Science jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Baton Rouge, LA look for?

The top searched job categories for Weekend Data Science jobs in Baton Rouge, LA are:

Data Systems Engineer

Vytl Controls Group

Baton Rouge, LA • On-site

$100 - $125/hr

Other

Posted 6 days ago


Job description

Posted Wednesday, June 3, 2026 at 6:00 AM

Position Summary

We are seeking a Data Systems Engineer to join our growing organization. This role will support the Director of Data Systems in designing and delivering scalable data solutions that enable business analytics, reporting, and data integration.

The ideal candidate will have strong experience with modern data platforms and a passion for building reliable, high-quality data systems. This role offers a collaborative work environment with opportunities for both in-office and remote work.

Key Responsibilities
  • Assist in the design, development, and maintenance of enterprise data platforms (data lake, warehouse, and lakehouse environments)
  • Partner with business stakeholders and product owners to develop reporting solutions, data extracts, and data models
  • Build and maintain data pipelines and ETL/ELT processes
  • Ensure data quality, integrity, and consistency across platforms such as Microsoft Fabric, Power BI, and Azure
  • Support data visualization and reporting initiatives, including Power BI dashboards and semantic models
  • Deliver project objectives on time, within scope, and with a high level of quality
  • Contribute to data governance, standards, and best practices
Experience & Education
  • Bachelor’s degree in Information Systems, Data Engineering, Data Science, or a related field, or equivalent relevant experience
  • 5+ years of experience writing complex SQL queries and working with data models
  • 2+ years of experience developing and maintaining ETL/ELT processes
  • Experience with modern data platforms, including Microsoft Fabric or similar cloud-based solutions
Technical Skills & Tools
  • Power BI and Power Platform
  • Python
  • DAX
  • Microsoft Dynamics D365 (preferred)
  • Advanced SQL (T-SQL)
  • Excel (advanced data manipulation)
  • Development tools such as VS Code and SQL Server Management Studio
Core Competencies
  • Ability to manage multiple concurrent projects and priorities in a fast-paced environment
  • Strong problem-solving and analytical skills
  • Excellent communication skills with the ability to translate technical concepts for business stakeholders
  • High attention to detail and commitment to data quality
Additional Requirements
  • Ability to travel as needed
  • Valid driver’s license with a clear driving record
  • Successful completion of background check and drug/alcohol screening
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