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Applied Math Jobs in Tracy, CA (NOW HIRING)

Data Engineer

Pleasanton, CA ยท On-site

$127K - $152K/yr

Bachelor's degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field. 3+ years of industry experience in Data Engineering 3+ ...

M.S. in Computer Science, Applied Mathematics, Statistics or related field or the equivalent combination of education and related experience. * Experience in at least one machine learning research ...

M.S. in Computer Science, Applied Mathematics, Statistics or related field or the equivalent combination of education and related experience. * Experience in at least one machine learning research ...

M.S. in Computer Science, Applied Mathematics, Statistics or related field or the equivalent combination of education and related experience. * Experience in at least one machine learning research ...

PhD strongly preferred in Computer Science, Machine Learning, Statistics, Operations Research, Applied Mathematics, Industrial Engineering, or a closely related quantitative field (or equivalent ...

PhD strongly preferred in Computer Science, Machine Learning, Statistics, Operations Research, Applied Mathematics, Industrial Engineering, or a closely related quantitative field (or equivalent ...

PhD strongly preferred in Computer Science, Machine Learning, Statistics, Operations Research, Applied Mathematics, Industrial Engineering, or a closely related quantitative field (or equivalent ...

Articul8 AI is seeking an Applied AI Researcher to advance our domain-specific GenAI platform. You ... You can derive the math behind the methods you use. * Infrastructure: Experience building training ...

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Applied Math information

See Tracy, CA salary details

$24.2K

$63.3K

$101.7K

How much do applied math jobs pay per year?

As of Jun 26, 2026, the average yearly pay for applied math in Tracy, CA is $63,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $75,400.00 per year, depending on experience, location, and employer.

What are applied mathematicians?

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 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.

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 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 popular job titles related to Applied Math jobs in Tracy, CA? For Applied Math jobs in Tracy, CA, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Tracy, CA look for? The top searched job categories for Applied Math jobs in Tracy, CA are:
What cities near Tracy, CA are hiring for Applied Math jobs? Cities near Tracy, CA with the most Applied Math job openings:
Infographic showing various Applied Math job openings in Tracy, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $63,337 per year, or $30.5 per hour.
Data Engineer

Data Engineer

Apex Informatics

Pleasanton, CA โ€ข On-site

$127K - $152K/yr

Other

Posted 18 days ago


Job description

Bachelor's degree or equivalent experience in computer science, applied math, physics, engineering, statistics, economics or related field.
3+ years of industry experience in Data Engineering
3+ years of work experience including hands-on technical experience with SQL, Python, PySpark, Jupyter Notebook, database design, and ETL processes
The ideal candidate will have proven experience on building modern data pipelines - Ingestion, Profiling, Integration, Summarization / Aggregation, Logging, DAG
You have strong experience building Data Quality frameworks and performing Exploratory Data Analysis (EDA)
You have proven hands-on experience with cloud-based data warehousing / data lake platforms such as AWS S3, GitRepo, Lambda