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Remote Mathematical Analyst Jobs in California (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$70K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$70K/yr

We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Experian

Senior Data Modeling Analyst - Remote

Costa Mesa, CA · On-site +1

$91.20K - $115K/yr

Senior Data Modeling Analyst - Remote Experian is a global data and technology company, powering ... Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related ...

Hire Talent

Data Analyst-III

San Francisco, CA · Remote

Remote Job Duration: 8 Months on W2 Utilize quantitative analysis to understand business drivers ... Master's degree in Mathematics, Statistics, Information Systems Management, Computer Science, or ...

GitHub

Data Analyst II

San Francisco, CA · Remote

$68.20K/yr

Locations In this role you can work from Remote, United States Overview GitHub helps companies ... OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer ...

Cedars Sinai

Epic Beaker Analyst - Remote

Los Angeles, CA · On-site +1

The Epic Beaker Analyst independently provides an intermediate level of operational and application ... Bachelor's degree in Computer Science, Mathematics, Healthcare, or related field. (preferred) Epic ...

Cedars Sinai

Epic Beaker Analyst - Remote

Los Angeles, CA · On-site +1

$98.32K - $139.67K/yr

The Epic Beaker Analyst independently provides an intermediate level of operational and application ... Bachelor's degree in Computer Science, Mathematics, Healthcare, or related field. (preferred) Epic ...

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Remote Mathematical Analyst information

What are the key skills and qualifications needed to thrive as a Remote Mathematical Analyst, and why are they important?

To thrive as a Remote Mathematical Analyst, you need a strong background in mathematics, statistics, and data analysis, typically supported by a degree in mathematics or a related field. Familiarity with statistical software (such as R, MATLAB, or Python), data visualization tools, and spreadsheet platforms is commonly required. Excellent problem-solving abilities, attention to detail, and effective written communication are important soft skills for this remote role. These skills and qualities are crucial for turning complex data into actionable insights and ensuring accurate, reliable results in a virtual work environment.

What are some common challenges faced by Remote Mathematical Analysts, and how can they be addressed?

Remote Mathematical Analysts often encounter challenges such as collaborating effectively with team members across different time zones and maintaining clear communication on complex mathematical concepts. To address these, it is important to leverage digital collaboration tools, establish regular virtual meetings, and document methodologies thoroughly. Building a strong rapport with colleagues through proactive communication and participating in virtual brainstorming sessions can also help ensure everyone stays aligned on project goals and deliverables.

What is a Remote Mathematical Analyst?

A Remote Mathematical Analyst is a professional who applies mathematical theories and techniques to analyze data and solve problems, typically while working from a location outside of a traditional office setting. They may work in fields such as finance, data science, engineering, or research, using statistical models, algorithms, and simulations to draw meaningful conclusions from data. Remote Mathematical Analysts collaborate with teams virtually, utilize specialized software, and present their findings in reports or presentations. Their work often helps organizations make data-driven decisions and optimize processes.

What is the difference between Remote Mathematical Analyst vs Remote Data Analyst?

AspectRemote Mathematical AnalystRemote Data Analyst
Required CredentialsBachelor's or higher in Mathematics, Statistics, or related fieldBachelor's or higher in Statistics, Data Science, or related field
Work EnvironmentRemote, often in research or analytics firmsRemote, in various industries like finance, healthcare, marketing
Employer & Industry UsageResearch institutions, analytics companies, tech firmsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between a Remote Mathematical Analyst and a Remote Data Analyst lies in their focus areas. Mathematical Analysts primarily work on complex mathematical modeling and theoretical analysis, while Data Analysts focus on interpreting data to inform business decisions. Both roles often require similar educational backgrounds and can be found working remotely across various industries.

What are the most commonly searched types of Mathematical Analyst jobs in California? The most popular types of Mathematical Analyst jobs in California are:
What are popular job titles related to Remote Mathematical Analyst jobs in California? For Remote Mathematical Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Mathematical Analyst jobs in California look for? The top searched job categories for Remote Mathematical Analyst jobs in California are:
What cities in California are hiring for Remote Mathematical Analyst jobs? Cities in California with the most Remote Mathematical Analyst job openings:
Remote Mathematical Analyst jobs near you

Mathematical Formalization Specialist - Remote

Alignerr

San Francisco, CA • Remote

$50 - $150/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Mathematical Formalization Specialist – Remote Join to apply for the Mathematical Formalization Specialist – Remote role at Alignerr About Alignerr: Alignerr partners with leading AI labs to build expert‐driven workflows that improve model reasoning. We recruit top mathematicians and specialists to solve tasks where automated tools fail, advancing AI reliability, formalization, and high‐integrity dataset creation. Role Overview: We are seeking a mathematician with deep training in rigorous proof construction and hands‐on experience with formal proof languages—especially Lean .

This role sits at the intersection of mathematics and computer science, focusing on translating human‐written mathematical arguments into precise, machine‐verifiable formalizations. You will work on proofs that often lie beyond the current capabilities of automated provers, helping us map the frontier of what formal verification can express, capture, and automate. What You'll Do Translate informal mathematical proofs into Lean (and related proof systems) with an emphasis on clarity, structure, and correctness.

Analyze generic and domain‐specific proofs, identifying gaps, hidden assumptions, and formalizable sub‐structures. Construct formalizations that test the limits of existing proof assistants—especially where tools struggle or fail. Collaborate with researchers to design, refine, and evaluate strategies for improving formal verification pipelines.

Develop highly readable, reproducible proof scripts aligned with mathematical best practices and proof assistant idioms. Provide guidance on proof decomposition, lemma selection, and structuring techniques for formal models. What You Bring – Must‐Have Master's degree (or higher) in Mathematics, Logic, Theoretical Computer Science, or a closely related field.

Strong foundation in rigorous proof writing and mathematical reasoning across areas such as algebra, analysis, topology, logic, or discrete math. Hands‐on experience with Lean (Lean 3 or Lean 4), Coq, Isabelle/HOL, Agda, or comparable systems—with Lean strongly preferred. Deep enthusiasm for formal verification, proof assistants, and the future of mechanized mathematics.

Ability to translate informal arguments into clean, structured formal proofs. Nice‐to‐Have Familiarity with type theory, Curry–Howard correspondence, and proof automation tools. Experience with large‐scale formalization projects (e.g., mathlib).

Exposure to theorem provers where automated reasoning frequently fails or requires manual scaffolding. Strong communication skills for explaining formalization decisions, edge cases, and reasoning strategies. Ideal Candidate A mathematically mature problem‐solver who enjoys working at the frontier of formal verification—someone who finds satisfaction in taking a dense, elegant human argument and expressing it in a form that a machine can understand.

You appreciate precision, structural beauty, and the challenge of resolving gaps that automated tools cannot yet bridge. Sample Work You Might Do Formalize classical proofs and compare machine‐verifiable structures against textbook arguments. Investigate where automated provers break down, and articulate why (complexity, missing lemmas, insufficient libraries, etc.).

Create Lean proofs that reveal deeper patterns or generalizations implicit in the original mathematics. Compensation: $50 – $150 per hour #J-18808-Ljbffr

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