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Remote Math Jobs in Thibodaux, LA (NOW HIRING)

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Remote Math information

See Thibodaux, LA salary details

$18.4K

$48K

$77.2K

How much do remote math jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote math in Thibodaux, LA is $48,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,700.00 and $57,200.00 per year, depending on experience, location, and employer.

What are the qualifications to get a remote math job?

The qualifications that you need to get a remote math job include advanced knowledge of mathematics and a postsecondary degree in a relevant field. Remote math teachers need at least a bachelor’s degree in math or education to teach at the elementary or secondary school level. States may also require a teaching license. Community college math instructors must have at least a master’s degree, while university-level professors need a doctorate and advanced credentials to teach online math courses. Math tutors may have a college degree, or they may be studying math at the college or graduate level. Employers may test tutors without a degree before starting employment. Along with educational requirements, remote math jobs require strong communication, technical, and time management skills, as well as a reliable internet and phone connection.

What are the key skills and qualifications needed to thrive as a remote math teacher, and why are they important?

To thrive as a Remote Math Teacher, you need a solid background in mathematics, a teaching credential or degree, and experience with curriculum planning. Familiarity with virtual classroom platforms (like Zoom or Google Classroom), online assessment tools, and digital whiteboards is typically required. Excellent communication, adaptability, and strong organizational skills help engage students and manage remote learning challenges. These skills and qualifications are crucial for delivering effective math instruction and maintaining student engagement in an online environment.

How does a remote math educator effectively collaborate with students and colleagues in a virtual environment?

As a remote math educator, collaboration is primarily facilitated through digital platforms such as video conferencing, shared documents, and virtual whiteboards. Regular communication with students often involves scheduled online classes, one-on-one tutoring sessions, and prompt feedback on assignments. Collaborating with colleagues may include participating in virtual team meetings, co-developing lesson plans, and sharing teaching resources digitally. Building strong relationships and maintaining clear, consistent communication are key to overcoming the challenges of remote interaction and ensuring student engagement and success.

What is the difference between Remote Math vs Remote Data Analyst?

AspectRemote MathRemote Data Analyst
Required CredentialsMathematics degree, quantitative skillsStatistics, data analysis certifications, degree in related field
Work EnvironmentRemote, often independent or team-based projectsRemote, collaborative with data teams and stakeholders
Industry UsageEducation, research, finance, techBusiness, marketing, finance, healthcare
Common Search/ComparisonRemote MathRemote Data Analyst

Remote Math professionals focus on mathematical problem-solving, research, and theoretical work, often in academic or research settings. Remote Data Analysts interpret data to inform business decisions, requiring skills in statistics and data visualization. While both roles are remote and involve data, Remote Math emphasizes mathematical theory, whereas Remote Data Analysts focus on practical data insights for organizations.

More about Remote Math jobs

What cities near Thibodaux, LA are hiring for Remote Math jobs?

Cities near Thibodaux, LA with the most Remote Math job openings:

Remote Math jobs near you
Infographic showing various Remote Math job openings in Thibodaux, LA as of August 2026, with employment types broken down into 55% Full Time, 36% Part Time, 1% Temporary, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $48,041 per year, or $23.1 per hour.

Senior Manager Data Science & AI

Raceland, LA • Remote

Bollinger Shipyards
Ship and Boat Building • 1 - 5K employees

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

People enjoy working here

Respectful managers

Learn more about Bollinger Shipyardsexternal

Full-time

Re-posted 25 days ago

Job description

Job Title: Senior Manager Data Science & AI

Location: Remote USA

Position Overview: The Senior Manager, Data Science & AI is responsible for establishing and scaling enterprise artificial intelligence, machine learning, and advanced analytics capabilities across Bollinger Shipyards. This role leads the identification, prioritization, development, and operationalization of AI solutions that improve forecasting, bidding, operational efficiency, planning, and decision-making.

The role partners closely with business leaders, Data Engineering, Analytics, and Enterprise Architecture to ensure AI initiatives are aligned to strategic priorities and successfully integrated into enterprise operations.

Key Responsibilities:

  • ·         Define and execute the enterprise roadmap for AI, machine learning, and advanced analytics initiatives
  • ·         Identify and prioritize high-value AI and predictive analytics use cases aligned to operational and strategic objectives
  • ·         Lead development of models supporting forecasting, cost estimation, scheduling, bidding optimization, operational efficiency, and intelligent automation
  • ·         Establish standards and governance for model development, validation, deployment, monitoring, and lifecycle management
  • ·         Ensure AI and ML solutions are integrated into enterprise workflows and production systems
  • ·         Partner with Data Engineering teams to ensure availability of scalable, high-quality datasets for model development
  • ·         Collaborate with business leaders to drive adoption and measurable business value from AI capabilities
  • ·         Evaluate emerging AI technologies, platforms, and opportunities relevant to Bollinger’s operational environment
  • ·         Lead and develop data science and ML engineering resources
  • ·         Ensure responsible, secure, and compliant use of AI technologies and enterprise data
  • ·         Establish KPIs and performance measures for AI initiatives and operational impact

Qualifications:

•           Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field

•           8+ years of experience in data science, AI, machine learning, or advanced analytics roles

•           3+ years of leadership experience

•           Proven experience leading enterprise AI and ML initiatives from concept through operational deployment

•           Strong background in statistical modeling, machine learning, predictive analytics, and optimization techniques

•           Experience working with large and complex enterprise datasets

•           Experience leading technical teams and enterprise-scale initiatives

Skills and Abilities:

•           Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments

•           Experience with Azure AI, ML Ops, cloud AI platforms, and modern AI frameworks

•           Familiarity with Generative AI, intelligent automation, and agent-based AI applications

•           Experience operationalizing AI solutions within ERP or operational systems

•           Knowledge of AI governance, model risk management, and responsible AI practices

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

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