2

Remote Research Mathematician Jobs in California

VC Associate

Los Altos, CA · On-site +1

$120K - $155K/yr

We've invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi ... Analyze latest industry trends and author market research briefings * Collaborate with Toyota ...

VC Associate

Los Altos, CA · On-site +1

$120K - $155K/yr

We've invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi ... Analyze latest industry trends and author market research briefings * Collaborate with Toyota ...

VC Associate

Los Altos, CA · On-site +1

$120K - $155K/yr

We've invested in over 100 companies to date, including AM Batteries, Apex Space, Axiom Math, Bipi ... Analyze latest industry trends and author market research briefings * Collaborate with Toyota ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Research and development of machine learning algorithms and statistical models for non-invasive ...

The new face of mental health Our model is research-based, and we are invested in staying on the ... Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields ...

The new face of mental health Our model is research-based, and we are invested in staying on the ... Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields ...

Showing results 41-60

Remote Research Mathematician information

What is a remote research mathematician?

Remote Research Mathematicians are professionals who conduct mathematical research and analysis while working from a location outside of a traditional office or academic setting, often from home. They investigate complex mathematical problems, develop new theories, and apply mathematical techniques to solve real-world challenges in fields like data science, engineering, finance, and technology. Their work can include publishing papers, collaborating with other researchers online, and using advanced software tools to run simulations or analyze data. Remote positions allow mathematicians to contribute to academic, private sector, or government projects globally without relocating.

What is the difference between Remote Research Mathematician vs Data Scientist?

AspectRemote Research MathematicianData Scientist
CredentialsAdvanced degree in mathematics or related fieldDegree in computer science, statistics, or related field
Work EnvironmentResearch-focused, often in academia or R&D departmentsIndustry settings, often in tech, finance, or healthcare
Employer & Industry UsageResearch institutions, government agencies, R&D divisionsCorporations, startups, consulting firms
Search & Comparison IntentFocus on mathematical research and theoretical workEmphasis on data analysis, modeling, and business insights

Remote Research Mathematicians primarily focus on theoretical and mathematical research, often within academic or R&D environments, requiring advanced math credentials. Data Scientists, while also skilled in analytics, tend to work more on practical data analysis and modeling in industry settings. Both roles may work remotely, but their core responsibilities and employer types differ significantly.

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

To thrive as a Remote Research Mathematician, you need advanced mathematical knowledge, strong analytical abilities, and typically a master's or Ph.D. in mathematics or a related field. Familiarity with computational tools such as MATLAB, Mathematica, or Python, and experience with collaboration platforms like Git or Overleaf, are commonly required. Exceptional problem-solving skills, self-motivation, and clear written communication are vital for excelling in independent and collaborative research. These skills and qualities are crucial to effectively conduct complex mathematical investigations, share findings, and contribute to remote teams.

How does a remote research mathematician typically collaborate with colleagues and contribute to team projects?

As a remote research mathematician, collaboration often occurs through virtual meetings, shared digital workspaces, and version-controlled repositories for code or mathematical proofs. You’ll regularly present findings, discuss approaches, and co-author papers or reports with team members who may be located worldwide. While independent research is a significant part of the role, strong communication skills and proactive engagement are essential for successful teamwork and advancing group objectives.
Infographic showing various Remote Research Mathematician job openings in California as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Bayesian Statistics Expert - Problem Designer

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Re-posted 14 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Bayesian Statistics and Applied Mathematics Expert
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
  • Develop problems requiring the use of specialized scientific software for simulations and experiment design.
  • Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
  • Collaborate on creating tasks that require strategic thinking and efficient information extraction.
  • Work independently to enhance problem designs based on feedback and model performance.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one scientific software library (PyMC, FEniCS, etc.).
  • Strong Python skills for writing problem setups and solution validators.
  • Ability to work independently and refine problem designs.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours/week.

Preferred

  • Experience across multiple domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.