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Applied Math Jobs in Austin, TX (NOW HIRING)

Apple

Demographic Data Scientist

Austin, TX · On-site

... Systems, Applied Math, Physics, Biological Sciences, Climate or Environmental Science. Equipped with deep knowledge of statistical analysis and modeling tools, along with a strong foundation in ...

Apple

Applied Scientist

Austin, TX · On-site

Minimum Qualifications Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field 3+ years of experience as an Applied ...

Apple

Demographic Data Scientist

Austin, TX

... Systems, Applied Math, Physics, Biological Sciences, Climate or Environmental Science. Equipped with deep knowledge of statistical analysis and modeling tools, along with a strong foundation in ...

Apple

Applied Scientist

Austin, TX · On-site

$175K - $308K/yr

... Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field 3+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

... Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field 3+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role ...

Apple Inc.

Demographic Data Scientist

Austin, TX · On-site

$80 - $100/hr

... Applied Math, Physics, Biological Sciences, Climate or Environmental Science. * Equipped with deep knowledge of statistical analysis and modeling tools, along with a strong foundation in linear ...

Fab2

Embedded Software Engineer

Austin, TX · On-site

$125 - $150/hr

Interest in applied math, linear algebra, numerical methods * Familiarity with failure mode and effects analysis (FMEA) or similar reliability‑focused design practice * Familiarity with ...

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All JobsApplied Math JobsApplied Math Jobs in Austin, TX

Applied Math information

See Austin, TX salary details

$22.3K

$58.3K

$93.7K

How much do applied math jobs pay per year?

As of Sep 9, 2026, the average yearly pay for applied math in Austin, TX is $58,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,600.00 and $69,400.00 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 are popular job titles related to Applied Math jobs in Austin, TX?

For Applied Math jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Applied Math jobs in Austin, TX look for?

The top searched job categories for Applied Math jobs in Austin, TX are:

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

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

Applied Math jobs near you
Infographic showing various Applied Math job openings in Austin, TX as of September 2026, with employment types broken down into 65% Full Time, 26% Part Time, 7% Temporary, 1% Contract, and 1% Nights. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $58,320 per year, or $28 per hour.

Demographic Data Scientist

Austin, TX • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

Full-time

Re-posted 6 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple is currently seeking an enthusiastic team player to join a dynamic and collaborative group as a demographic data scientist focusing on human populations using statistics, computer programming, and machine learning within a human factors design team. You'll have the unique opportunity to contribute to the development and continuing improvement of Apple hardware products by distilling data into actionable and intuitive visualizations from human interaction perspective.
Description
As a member of this team-oriented, collaborative group, you will be working on the latest, most innovative Apple products together with many cross-functional teams.
This role requires strong collaboration and curiosity in the application of different methods to ambiguous problems. Success in this role means being fluent in using statistics and visualization tools to answer specific questions about datasets regardless of sample size, and a passion about communicating solutions to dynamic problems through presentations.
Minimum Qualifications
MS +3 years of experience or PhD in an analytical field such as (but not limited to) Quantitive Social Sciences (Sociology, Education, Economics, Political Science), Computer Science, Engineering, Statistics, Geographic Information Systems, Applied Math, Physics, Biological Sciences, Climate or Environmental Science.
Equipped with deep knowledge of statistical analysis and modeling tools, along with a strong foundation in linear algebra, geometry, optimization, or inference techniques.
Strong programming skills in a scripting language (Python, R, Matlab, etc), using these tools to model and visualize data to enable data-driven decision making.
Possess excellent communication and interpersonal skills, attention to detail, patience, and aesthetic sensibility.
Demonstrated experience working in teams and collaborating with peers, with a willingness to solicit input and accept feedback.
Preferred Qualifications
Experience making inferences from small-scale datasets
Experience with population modeling, inference, weighting, and simulation techniques (e.g. Monte Carlo methods) to understand and estimate variation and uncertainty.
Experience with statistical methods such as Bayesian methods to identify trends and anomalies in multivariate and/or medium-sized and/or large-scale datasets.
Experience with human anthropometric, biometric, or perception/preference data, and/or a willingness to delve deeper in to these data types.
Experience using generative AI tools in workflows.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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