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Remote Mathematical Programming Jobs (NOW HIRING)

Almost Fun

Support the Chief Technology Officer in building new, interactive math lessons (current examples ... This is a remote position that pays hourly. Preferred skills for this role are: * A commitment to ...

Almost Fun

Support the Chief Technology Officer in building new, interactive math lessons (current examples ... This is a remote position that pays hourly. Preferred skills for this role are: * A commitment to ...

Travere

Executive Director, Statistical Programming

San Diego, USA- Remote Be a part of a global team that is inspired to make a difference in the ... Bachelor's degree in Statistics, Computer Science, Mathematics, or a related technical discipline ...

ARRISE

Senior Mathematician

Game artists, developers, mathematicians, sound technicians, product marketers, regulatory experts ... With a remote team of product experts, we're tapping into American talent to drive the next ...

ARRISE

Senior Mathematician

$108K - $123K/yr

Game artists, developers, mathematicians, sound technicians, product marketers, regulatory experts ... With a remote team of product experts, we're tapping into American talent to drive the next ...

ARRISE

Associate Mathematician

Game artists, developers, mathematicians, sound technicians, product marketers, regulatory experts ... With a remote team of product experts, we're tapping into American talent to drive the next ...

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Remote Mathematical Programming information

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$83.5K

$127K

$171K

How much do remote mathematical programming jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote mathematical programming in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is remote mathematical programming?

Remote mathematical programming involves solving mathematical optimization problems and developing algorithms while working from a location outside of a traditional office, often from home. Professionals in this field use mathematical models and computer programming to find optimal solutions for complex problems in areas like logistics, finance, engineering, and data science. Remote work allows mathematical programmers to collaborate with teams and clients globally, utilizing tools for communication, code sharing, and project management. This setup requires strong analytical skills, proficiency in programming languages like Python or MATLAB, and the ability to work independently.

What are the key skills and qualifications needed to thrive as a remote mathematical programmer?

To excel as a Remote Mathematical Programmer, you need a strong background in mathematics, optimization theory, and programming, often supported by a degree in mathematics, computer science, or engineering. Familiarity with technical tools like Python, MATLAB, R, and mathematical optimization libraries such as Gurobi or CPLEX is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication skills are valuable soft skills in this role. These competencies are crucial for designing efficient algorithms, collaborating across remote teams, and delivering accurate solutions to complex mathematical challenges.

What are some common challenges faced by professionals in remote mathematical programming roles, and how can they be addressed?

One of the main challenges in remote mathematical programming is effective communication, especially when collaborating on complex models with team members in different locations. Ensuring clarity in documentation and maintaining regular check-ins can help mitigate misunderstandings. Another challenge is staying updated with the latest mathematical optimization tools and software, as advancements happen rapidly; dedicating time for continuous learning can be invaluable. Additionally, remote professionals may face difficulties in accessing high-performance computing resources, so it's important to familiarize yourself with cloud-based solutions provided by your organization.
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Remote Mathematical Programming jobs near you
Infographic showing various Remote Mathematical Programming job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 83% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Sr Scientist, Tech - Science

San Francisco, CA • On-site, Remote

Uber Technologies, Inc.
Ground Public Transportation • 10K+ employees
Learn more about Uber Technologies, Inc.external

Full-time

Retirement

Posted 7 days ago

Uber rating

6.8

Company rating: 6.8 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

Job description

About the Role and Team

Working in Science at Uber means solving complex marketplace problems in a high-stakes, fast-moving environment. You will be joining the Rider Pricing and Incentives Science team, which owns our automated real-time pricing systems. You'll turn massive amounts of unstructured marketplace data into focused algorithmic strategies, navigating ambiguity to build technologies that directly influence every ride decision made across our global mobility marketplace.

In this role, you'll serve as the vital bridge between technical depth and real-world business impact. We are looking for experienced candidates with strong quantitative expertise across data science, operations research, statistics, and economics. You will thrive here if you possess an owner's mindset, combine algorithmic rigour with practical execution, and excel at driving complex initiatives through close cross-functional collaboration with product and engineering partners.

What You'll Do
  • Build, scale, and optimize statistical, mathematical programming, and ML models for dynamic pricing applications.  
  • Generate data insights to identify opportunities to enhance algorithm performance.  
  • Develop novel experimentation and causal inference methodologies tailored to complex, highly interconnected marketplace settings.
  • Collaborate deeply across disciplines with Product, Engineering, and Operations to identify growth opportunities, align on key success metrics, and drive systems end-to-end from ideation to production.
  • Translate granular marketplace data and complex optimization results into clear, actionable business strategies for leadership.
  • Unblock technical and operational barriers by designing robust diagnostic tools, logging infrastructure, and marketplace metrics.
Basic Qualifications
  • Ph.D., M.S., or Bachelor's degree in Operations Research, Data Science, Statistics, Economics, Mathematics, Computer Science, or equivalent quantitative field.
  • 5+ years of professional industry experience as an Applied Scientist, Data Scientist, Economist, or equivalent (or 3+ years with a Ph.D.).
  • Strong foundation in at least one key domain: control theory, mathematical optimization, statistical inference, machine learning, econometrics.
  • Proficiency in Python/R and SQL for large-scale data analysis and algorithmic prototyping.
  • Experience in designing, analyzing, and interpreting complex experiments across key marketplace performance indicators.
Preferred Qualifications
  • 6+ years of industry experience applying data science, optimization, or economics in dynamic marketplace or pricing environments.
  • Demonstrated success partnering closely with Product, Engineering, and Operations partners to deploy algorithms into production.
  • Hands-on experience building large-scale pricing, auction, advertising, or supply-demand matching algorithms.
  • Proven track record of navigating ambiguity and communicating technical concepts clearly to non-technical business partners.

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For New York City, NY-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.


For San Francisco, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.


For Seattle, WA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.


For Sunnyvale, CA-based roles: The base salary range for this role is USD $190,000 per year - USD $211,000 per year.


For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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