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Applied Math Jobs in Oakland, CA (NOW HIRING)

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications [choose correct set ...

Showing results 21-40

Applied Math information

See Oakland, CA salary details

$25.8K

$67.6K

$108.5K

How much do applied math jobs pay per year?

As of Sep 8, 2026, the average yearly pay for applied math in Oakland, CA is $67,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $80,400.00 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 job categories do people searching Applied Math jobs in Oakland, CA look for?

The top searched job categories for Applied Math jobs in Oakland, CA are:

What cities near Oakland, CA are hiring for Applied Math jobs?

Cities near Oakland, CA with the most Applied Math job openings:

Infographic showing various Applied Math job openings in Oakland, CA as of September 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $67,573 per year, or $32.5 per hour.

Member of the Technical Staff

San Francisco, CA • On-site

$110K - $350K/yr

Full-time

Posted 28 days ago


Job description

About Kiso
Kiso Technology is a firm based in San Francisco that develops algorithms, models, and software systems to solve complex problems in a variety of domains. Clients range from early-stage startups to some of the largest companies in the world.
About the role
As a Member of the Technical Staff, you will join a team with deep expertise in machine learning, optimization, data science, and software engineering. You will work on small, focused project teams (typically 2-4 people) to address complex strategic questions and deliver end-to-end solutions to ambiguous questions like "How can we manage our inventory more efficiently?" and "Why are we losing customers?"
Our technical staff own this entire process-from framing the problem to building a solution and ensuring it drives lasting impact. Some examples of solutions we might deliver:
  • LLM-based agent to automate expert analyst workflows in healthcare revenue cycle, ingesting unstructured contracts and claim data to identify recovery opportunities across 100M+ claims
  • Core recommendation engine for a major dating app
  • Coherent hierarchical probabilistic forecasting model, for thousands of products with intermittent demand
  • Real-time delivery route planner, accounting for traffic conditions and live order changes

While our work is highly collaborative, you do need to be self-directed and able to work independently.
We are looking for:
  • Strong skills and professional experience in at least one of:
    • software engineering in a collaborative, production environment
    • applied math, e.g., AI, operations research, statistics, probability, and/or machine learning
    • product leadership on AI
  • Excellent communication skills, can distill technical concepts for non-technical audiences
  • Comfort in a client-facing role

Nice to have:
  • PhD in computer science, statistics, applied mathematics, or a related field
  • Successful track record leading large-scale technical projects, especially in a customer-facing role
  • Deep expertise and/or thought leadership in a technical field (e.g. influential writing, strong publication record, professorship)

This is an in-person role, based out of our office in San Francisco. We offer relocation assistance for new employees and highly-competitive compensation.
The base salary range for this role is $110,000-$350,000. We also offer a generous performance-based bonus and an array of company benefits.