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Applied Math Jobs in Magnolia, TX (NOW HIRING)

TGS ASA

Lead Data Scientist

Houston, TX · On-site

$140 - $190/hr

MSc or PhD in Machine Learning, Data Science, Applied Mathematics, Physics, Geophysics, or a related technical discipline. * 5-10 years of experience in applied data science or research‑oriented ...

New

SLB

FWI & AI Scientist

Houston, TX · On-site

PhD/MS in Geophysics, Applied Math, Physics, Computer Science, or equivalent experience * Deep expertise in Full Waveform Inversion, seismic wave propagation, and inverse problems * Prior hands-on ...

New

ConocoPhillips

Intern, Geology & Geophysics 2027

Houston, TX · On-site

$14.25 - $19/hr

Bachelor's degree or higher in Geology, Geophysics, Engineering, Applied Mathematics, other closely related technical field, or foreign equivalent * Pursuing a Master's degree or higher in Geology ...

Varsity Tutors

Differential Equations Tutor

Houston, TX · Remote

$18 - $40/hr

Ability to explain solution techniques, equilibrium analysis, and stability while preparing students for engineering, physics, and applied mathematics applications. * Conceptual Teaching & Problem ...

Lucky Strike Entertainment

Assistant Mechanic

Houston, TX

$15 - $19/hr

High School Diploma with a strong emphasis on algebra, geometry, and applied mathematics (Optional) * Excellent communication skills * Proven team player * Eager to continue training to advance into ...

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Showing results 21-40

All JobsApplied Math JobsApplied Math Jobs in Magnolia, TX

Applied Math information

See Magnolia, TX salary details

$19.3K

$50.4K

$80.9K

How much do applied math jobs pay per year?

As of Aug 20, 2026, the average yearly pay for applied math in Magnolia, TX is $50,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $59,900.00 per year, depending on experience, location, and employer.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What to do with a degree in applied math?

A degree in applied math prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.

What cities near Magnolia, TX are hiring for Applied Math jobs?

Cities near Magnolia, TX with the most Applied Math job openings:

Applied Math jobs near you
Infographic showing various Applied Math job openings in Magnolia, TX as of August 2026, with employment types broken down into 68% Full Time, 22% Part Time, 3% Temporary, 6% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $50,359 per year, or $24.2 per hour.

Lead Data Scientist

TGS ASA

Houston, TX • On-site

$140 - $190/hr

Other

Posted 2 days ago

New

Job description

TGS provides scientific data and intelligence to the global energy sector, enabling energy for all by unlocking vital, data‑driven solutions and knowledge. Through an extensive and diverse energy data library, advanced analytics, cloud‑based applications, and specialized services, we work in a way that is Passionate, Results‑Driven, Collaborative, and Responsible.

Purpose & Scope

The Lead Data Scientist serves as a senior technical contributor within TGS’s Data Science organization, providing strong expertise in scientific machine learning and advanced analytics for complex subsurface problems. This role combines hands‑on model development with technical leadership across major initiatives, supporting the development of reusable learning systems for subsurface data, including foundation‑model–style representation learning. The position emphasizes scientific rigor, technical influence, and cross‑team collaboration, contributing to the design and evolution of large‑scale learning systems while working alongside other senior technical leaders.

Key Responsibilities
  • Lead the design, implementation, and evaluation of scientific machine learning models for subsurface and energy‑related data.
  • Contribute to the development of large‑scale representation learning systems, including self‑supervised and weakly supervised approaches.
  • Provide technical guidance and review for complex modeling initiatives, ensuring robustness, generalization, and reproducibility.
  • Own major technical workstreams and deliver scalable analytical solutions from research through deployment.
  • Collaborate closely with senior data scientists, domain experts, and engineering teams to align technical solutions with business and scientific objectives.
  • Guide experimentation practices, model evaluation standards, and technical documentation.
  • Mentor data scientists and support knowledge sharing across the organization.
  • Participate in external research activities, publications, or technical collaborations.
  • Scientific Machine Learning Expertise: Strong understanding of ML applied to physical or scientific systems.
  • Large‑Scale Representation Learning: Experience with modern deep learning architectures and training workflows for complex datasets.
  • Technical Leadership: Ability to guide technical workstreams and influence outcomes through expertise.
  • Experimental Rigor: Strong focus on hypothesis‑driven development and reproducible experimentation.
  • Collaborative Influence: Works effectively within multi‑lead, interdisciplinary environments.
  • Mentorship: Supports development of technical talent and best practices.
Qualifications
  • MSc or PhD in Machine Learning, Data Science, Applied Mathematics, Physics, Geophysics, or a related technical discipline.
  • 5–10 years of experience in applied data science or research‑oriented machine learning roles.
  • Strong background in modern deep learning and scientific ML applied to complex or large‑scale datasets.
  • Experience leading technical initiatives or complex modeling projects.
  • Experience in energy, geoscience, or large‑scale scientific/industrial domains preferred.

TGS is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other protected status under federal, state, or local law.

We are committed to providing reasonable accommodations in our application process for individuals with disabilities. If you require an accommodation during the application or interview process, please contact us at hr@tgs.com.

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