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Remote Math Jobs in Omaha, NE (NOW HIRING)

Remote Categories: Information Technology The Emerging and Strategic Solutions ART is looking for a ... Bachelor's degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science ...

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Remote Math information

See Omaha, NE salary details

$21.5K

$56.3K

$90.4K

How much do remote math jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote math in Omaha, NE is $56,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $67,000.00 per year, depending on experience, location, and employer.

What careers in math can you work from home?

Remote math careers include roles such as data analyst, statistician, quantitative analyst, and math tutor, which often require strong analytical skills and proficiency with tools like Excel, R, or Python. These positions typically involve flexible schedules and can be performed independently with a computer and internet connection.

Can mathematicians work remotely?

Yes, many mathematicians can work remotely, especially those in research, data analysis, or software development roles. Remote work often requires strong analytical skills, proficiency with mathematical software, and effective communication tools. The feasibility depends on the employer and the specific job responsibilities.

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.

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.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians, often in roles related to cryptography, data analysis, and intelligence analysis. Candidates typically need strong analytical skills, a background in mathematics or related fields, and security clearance. These positions may require specialized training and adherence to strict confidentiality protocols.

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.

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 job makes $1,000,000 a year?

In the field of remote math-related jobs, high-level roles such as quantitative analysts, data scientists, or financial modelers in finance or tech companies can reach or exceed a million dollars annually through salaries, bonuses, and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience with programming tools like Python or R. Such roles are often found in industries with high revenue potential and may involve long hours and high responsibility.

What are remote math jobs?

Remote math jobs are positions that allow professionals to work from home or any location outside of a traditional office, focusing on mathematics-related tasks. These roles can include teaching or tutoring math online, working as a data analyst, statistician, actuary, or even developing algorithms for tech companies. Remote math jobs often require strong analytical skills, proficiency in mathematical concepts, and the ability to use digital collaboration tools. They offer flexibility in terms of location and sometimes work hours, making them appealing to those seeking work-life balance. Opportunities are available in education, finance, technology, and research sectors.
What are the most commonly searched types of Math jobs in Omaha, NE? The most popular types of Math jobs in Omaha, NE are:
What cities near Omaha, NE are hiring for Remote Math jobs? Cities near Omaha, NE with the most Remote Math job openings:
Infographic showing various Remote Math job openings in Omaha, NE as of July 2026, with employment types broken down into 2% Internship, 69% Full Time, 23% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $56,285 per year, or $27.1 per hour.
Principal Data Scientist

Principal Data Scientist

Mutual of Omaha

Omaha, NE • On-site, Remote

Other

Retirement, PTO

Posted 7 days ago


Mutual Of Omaha rating

8.7

Company rating: 8.7 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

67th of 281 rated insurance


Job description

Principal Data Scientist

Apply now Job no: 504903
Work type: Full Time Regular
Location: Remote
Categories: Information Technology

The Emerging and Strategic Solutions ART is looking for a Data Scientist specializing in Generative AI who will be at the forefront of transforming our business segment through the design, development, and deployment of production AI applications. You will architect and ship agentic AI systems that transform how our operational areas work, including applications that can reason over business context, take action through tools and integrations, and automate complex workflows end to end. This role calls for a hands-on builder with deep experience taking LLM applications from prototype to production, supported by strong full-stack engineering, MLOps, and cloud infrastructure skills. This position demands a proactive problem solver who thrives in ambiguity and can adapt swiftly to changing priorities, making a significant.

 WHAT WE CAN OFFER YOU:

  • $140,000 to $180,000, eligible for annual bonus, as applicable.
  • 401(k) plan with a 2% company contribution and 6% company match.
  • Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
  • Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

WHAT YOU'LL DO:

  • Lead the design, development, and deployment of Generative AI  applications by immersing yourself in the needs of operational areas. Build empathy for business challenges and apply engineering best practices to deliver innovative, robust, and reliable AI solutions. 
  • Lead the design, development, and deployment of agentic Generative AI applications by immersing yourself in the needs of operational areas. Build empathy for business challenges and apply engineering best practices to deliver innovative, robust, and reliable AI solutions. 
  • Drive the end-to-end lifecycle of AI/ML projects, from ideation and experimentation through production deployment. Use prompt engineering, data versioning, systematic experimentation, and A/B testing to optimize performance. 
  • Develop and maintain secure, scalable infrastructure on AWS, with a focus on cloud resource management, cost optimization, and compliance. Prioritize security and fairness throughout the development and deployment process to protect our customers and uphold ethical standards. 
  • Collaborate on systems design and integration, ensuring seamless interoperability between AI systems and both modern and legacy front-end/back-end platforms. Maintain CI/CD pipelines and automated testing frameworks to support continuous delivery and operational reliability. 
  • Partner with business and technical stakeholders to identify high-impact use cases for generative AI in underwriting, customer service, claims, and risk modeling, ensuring alignment with strategic goals. 
  • Implement and promote MLOps best practices, enabling reproducibility, scalability, and model governance throughout the development lifecycle. 
  • Lead delivery using agile methodologies, incorporating continuous feedback and fostering a culture of experimentation and iterative improvement. Own your solutions from prototype through production. 
  • Stay informed about emerging trends in Generative AI, cloud-native technologies, model governance, and responsible AI, and apply them to deliver long-term business value. 
  • Mentor junior data scientists and engineers, promoting best practices in AI development, documentation, and cross-functional collaboration. 

WHAT YOU'LL BRING:

  • Bachelor's degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience, with at least 5 years deploying and supporting full-stack applications in enterprise environments, and several years of experience integrating AI, MLOps into full-stack applications. 
  • Experienced in designing and shipping production Generative AI-based applications with agentic architectures, with strong skills in prompt engineering, orchestration frameworks (e.g., LangChain, LangGraph, or similar), tool/function calling, structured outputs, model selection, and LLM evaluation. 
  • Experienced in full-stack development (backend, frontend, and database technologies) with expertise in technologies such as Vue and TKG, and strong skills in PythonTypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices
  • Experienced in AWS services, particularly Bedrock, SageMaker, S3Lambda, and infrastructure as code (CDK). Extensive experience applying software engineering design patterns and enterprise application architecture principles to build secure, scalable, maintainable, and cost-optimized cloud-native applications. 
  • Experienced in data sciencemachine learning techniques, and data engineering. Skilled at addressing fairness in AI development and applying experimentation and A/B testing methodologies to empirically evaluate and improve model performance. 
  • Strong communicator and collaborator, experienced at building partnerships in remote and ever-changing environmentsResilient and resourceful problem solver, proactive at overcoming obstacles to achieve goals. Comfortable with ambiguity and change, demonstrating high learning agility, adapting quickly to shifting priorities, and bringing clarity to undefined problems. 

 PREFERRED:  

  • Advanced degree in an analytical field. 
  • Familiarity with single or multi-cloud agentic architecture for building LLM-based applications. 
  • Proven experience with MLOps and implementing automated pipelines for model and algorithm training, monitoring, versioning, deployment, and scaling in production environments. 

Why Join Us?

  • Here, your skills spark progress. You'll solve meaningful problems, collaborate with passionate teammates, and grow in a space where innovation is the norm-not the exception.
  • We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 
  • If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.
  • Stay Safe from Job Scams
    Mutual of Omaha only accepts applications from mutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com.' We never request sensitive information or extend job offers without conducting interviews. For more details, check our Hiring FAQs. Stay alert for scams and apply securely!
  • Fair Chance Notices
  • #mutualofomaha

Advertised: Jul 6, 2026 09:00 AM Central Daylight Time
Applications close:

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