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Computational Mathematics Remote Jobs in Berkeley, CA

Jitx Inc.

Senior Software Engineer

Berkeley, CA · On-site +1

$150K - $250K/yr

... structures, computational efficiency, and parallelism - Mathematical maturity. Comfortable ... Architected to support headless and remote. $150,000 - $250,000 a year We may use artificial ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ... Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 ...

Mainspring Energy

Staff CFD Modeling Engineer

Menlo Park, CA · On-site +1

$160K - $190K/yr

... experience in Computational Fluid Dynamics and its applied mathematical foundations * 2+ years ... C/C++, Python, Julia, etc This position is a hybrid position (onsite + remote) at our Menlo Park HQ

Higharc

Sr. Software Engineer, Structural

San Francisco, CA · Remote

$102K - $139K/yr

Familiarity with computational geometry and mathematical modeling. * Professional fluency with ... Remote work means more time with family, less time commuting, and the flexibility to blend work and ...

All JobsComputational Mathematics JobsComputational Mathematics Remote JobsComputational Mathematics Remote Jobs in Berkeley, CA

Computational Mathematics Remote information

See Berkeley, CA salary details

$50

$67

$90

How much do computational mathematics remote jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for computational mathematics remote in Berkeley, CA is $67.26, according to ZipRecruiter salary data. Most workers in this role earn between $57.40 and $90.05 per hour, depending on experience, location, and employer.

What is computational mathematics in a remote job setting?

Computational mathematics in a remote job involves using mathematical models, algorithms, and computational techniques to solve complex problems, often in science, engineering, or finance, while working from a location outside a traditional office. Remote computational mathematicians typically use computer programming, numerical analysis, and simulations to analyze data or develop software tools. The remote aspect allows professionals to collaborate with teams and access resources virtually, making the role flexible and accessible from anywhere with a reliable internet connection.

What are some common challenges faced by remote computational mathematics professionals, and how can they be addressed?

Remote computational mathematics professionals often encounter challenges such as limited real-time collaboration with colleagues, potential miscommunication on complex mathematical concepts, and the need for reliable access to powerful computational resources. To overcome these challenges, it's important to leverage collaborative tools like version control systems, video conferencing, and shared code repositories. Regular virtual meetings and clear documentation also help maintain effective teamwork and ensure everyone stays aligned on project goals.

What are the key skills and qualifications needed to thrive as a computational mathematician in a remote role, and why are they important?

To thrive as a Computational Mathematician remotely, you typically need strong mathematical modeling, analytical skills, and a degree in mathematics, applied mathematics, or a related field. Proficiency in programming languages such as Python, MATLAB, or R, and experience with numerical simulation tools are often required. Excellent problem-solving, time management, and clear virtual communication skills help distinguish top performers in remote environments. These competencies are vital for solving complex problems, collaborating across locations, and efficiently delivering results in distributed teams.

What is the difference between Computational Mathematics Remote vs Data Scientist Remote?

AspectComputational Mathematics RemoteData Scientist Remote
Required CredentialsMathematics, Computer Science degrees, programming skillsStatistics, Mathematics, Programming, often a related degree
Work EnvironmentResearch-focused, algorithm development, modelingData analysis, machine learning, business insights
Industry UsageAcademia, research labs, tech companiesTech, finance, healthcare, e-commerce
Search & Comparison IntentFocus on mathematical modeling and algorithmsFocus on data analysis and predictive modeling

Computational Mathematics Remote roles primarily involve mathematical modeling, algorithm development, and research, often requiring advanced degrees in mathematics or related fields. Data Scientist Remote positions focus on analyzing data, building predictive models, and deriving insights, typically requiring skills in statistics and programming. While both roles involve data and programming, their core focus and industry applications differ.

What job categories do people searching Computational Mathematics Remote jobs in Berkeley, CA look for?

The top searched job categories for Computational Mathematics Remote jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Computational Mathematics Remote jobs?

Cities near Berkeley, CA with the most Computational Mathematics Remote job openings:

Computational Mathematics Remote jobs near you
Infographic showing various Computational Mathematics Remote job openings in Berkeley, CA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $139,892 per year, or $67.3 per hour.

Principal Data Architect

Swift Hire LLC

Menlo Park, CA • Remote

Contractor

Posted 9 days ago

Job description

Principal Data Architect

Location: Menlo Park, CA(Remote) 

Position Overview: We are looking for a forward thinking 10+ Years Data Architect, who is visionary to pioneer the engineering and orchestration of an enterprise-scale, Self-Healing Data Fabric. In this high-impact mandate, you will dismantle traditional, rigid ETL pathways and help implement an intelligent "nervous system" framework where operational metadata is continuously active, enterprise data governance is completely computational, and multi-party data virtualization relies on zero-copy architectures. Mandatory Technical: • Active Metadata Infrastructure: Demonstrated success designing closed-loop data automation pipelines (e.g., building automated engines for metadata-triggered schema self-repair and structural drift remediation). • Advanced Semantic Engineering: Comprehensive mastery of semantic web standards, including RDF, OWL, and SHACL, for building ontology-first structural data models alongside SPARQL for context-aware graph reasoning. • Policy-as-Code Compliance: Production-grade deployment experience utilizing Open Policy Agent (OPA) or equivalent zero-trust policy engines to enforce programmatic, contextual data access control layers. • Caelum or Amundsen push-events: Alongside DataHub's Actions Framework to drive real-time, event-based data quality orchestration and automated schema rollbacks

Note: 

Target Educational Profiles: • Required: Minimum of 10+ years of enterprise data strategy experience. • Preferred: Master's degree or Ph.D. in Computer Science with a core focus on Formal Methods/Symbolic Logic or Computational Mathematics. • Key Focus Areas: Active Metadata, RDF, OWL, SHACL, SPARQL, OPA, Caelum/Amundsen.