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Remote Gurobi Jobs (NOW HIRING)

Sr. Developer (US Census Bureau)

Greenbelt, MD · Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... Additional engineering activities may include supporting/testing Gurobi Optimizer setup and ...

Senior Optimization Engineer

Santa Clara, CA · Remote

$122.70K - $168.50K/yr

Engineering & Science Job Schedule: Full time Remote: No At Hitachi Energy, we are driving the ... Minimum 5 years of experience in optimization modeling tools and solvers (AMPL/AIMMS, CPLEX, Gurobi)

Optimization Engineer

Charleston, WV · Remote

$217.50K - $237K/yr

... our flexible remote culture. About This Role Intersect is building the integrated energy ... Familiarity with solvers such as Gurobi, XPRESS, HiGHS, or CPLEX and modeling frameworks like Pyomo ...

This position can work onsite or hybrid from one of our offices or fully remote in the US. Travel ... Sentaurus, Gurobi, CPLEX, Pyomo (optimization applications); translate practical use cases into ...

Optimization Engineer

$217.50K - $237K/yr

... our flexible remote culture. About This Role Intersect is building the integrated energy ... Familiarity with solvers such as Gurobi, XPRESS, HiGHS, or CPLEX and modeling frameworks like Pyomo ...

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How much do remote gurobi jobs pay per year?

As of May 30, 2026, the average yearly pay for remote gurobi 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 are the key skills and qualifications needed to thrive as a Remote Gurobi Optimization Specialist, and why are they important?

To thrive as a Remote Gurobi Optimization Specialist, you need strong mathematical modeling skills, proficiency in linear and mixed-integer programming, and a background in operations research or applied mathematics. Expertise in using the Gurobi Optimizer, familiarity with programming languages such as Python, and experience with optimization modeling tools are typically required. Strong problem-solving abilities, effective communication, and the discipline to work independently in a remote environment distinguish top performers in this role. These skills are crucial for efficiently delivering high-quality optimization solutions and collaborating with distributed teams or clients.

What are some common challenges faced by remote Gurobi optimization specialists, and how can they be overcome?

Remote Gurobi optimization specialists often face challenges such as collaborating effectively with distributed teams, understanding complex problem requirements without in-person discussions, and ensuring efficient communication of technical solutions. To overcome these, it's helpful to establish regular video meetings, utilize collaborative tools for code sharing and documentation, and actively participate in discussions to clarify project goals. Building strong relationships with team members and stakeholders, even virtually, can significantly enhance project outcomes and job satisfaction.

What is a Remote Gurobi job?

A Remote Gurobi job typically refers to a position in which the employee works remotely (from home or another location) using the Gurobi Optimizer software. Gurobi is a popular mathematical optimization solver used for solving linear programming, mixed-integer programming, and other complex optimization problems. Professionals in these jobs often develop, implement, or support optimization models for various industries such as logistics, finance, or energy. Remote Gurobi jobs may require strong backgrounds in mathematics, computer science, or operations research, as well as experience with programming languages like Python, Java, or C++. These roles offer the flexibility of working from anywhere while contributing to high-level analytical projects.

What is the difference between Remote Gurobi vs Remote Data Scientist?

AspectRemote GurobiRemote Data Scientist
Required credentialsOptimization certifications, programming skills (Python, C++)Statistics, machine learning, programming (Python, R)
Work environmentFocus on mathematical modeling and optimization tasksData analysis, modeling, and predictive analytics
Employer and industry usageTech, finance, logistics companies needing optimization solutionsTech, healthcare, finance, e-commerce for data-driven insights

Remote Gurobi specialists focus on mathematical optimization and solving complex problems using Gurobi software, often requiring programming and optimization certifications. Remote Data Scientists analyze data, build models, and generate insights, typically with expertise in statistics and machine learning. While both roles involve programming and data handling, Remote Gurobi is centered on optimization tasks, whereas Remote Data Scientists focus on data analysis and predictive modeling.

More about Remote Gurobi jobs
What cities are hiring for Remote Gurobi jobs? Cities with the most Remote Gurobi job openings:
What are the most commonly searched types of Gurobi jobs? The most popular types of Gurobi jobs are:
What states have the most Remote Gurobi jobs? States with the most job openings for Remote Gurobi jobs include:
Infographic showing various Remote Gurobi job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 5% Hybrid, and 95% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Analyst II, Full Stack (Customer Servicing Analytics)

Analyst II, Full Stack (Customer Servicing Analytics)

Affirm

Remote

$124K - $174K/yr

Full-time

Medical, Dental, Vision

Posted 16 days ago


Job description

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
We're looking for intelligent, driven professionals to join our team. The Operations Analytics team uses data to shape servicing strategy across contact channels, customer segmentation, capacity planning, forecasting, and repayment operations. The ideal candidate brings strong analytical depth, systems thinking, and the ability to partner cross-functionally to drive meaningful business impact.
AI is integral to the analytics workflow on this team. The analyst applies AI from data exploration through model validation to stakeholder communication, and helps shape how the team uses it. The role requires architectural decisions, strong stakeholder alignment, and embedding AI/ML in core decisions. Operating independently in ambiguous environments is essential.
What You'll Do
Scope
  • Planning: Own planning and staffing for UK and new-geography launches and special teams. Develop and maintain the guardrail metrics.
  • Foundations: Build working familiarity with the underlying data, including demand signals, agent rosters (team, title, country), and agent activity (delivered hours, status), and license demand.
  • Infrastructure forecasts: Own demand forecasts for checkouts and app opens in CA and UK and new geographies.
  • Insights:
    • Report on forecast health for UK, CA, and other geos (accuracy and outlook).
    • Advise Customer Operations real-time management (UK) on agent productivity.
    • Curate AI knowledge for Customer Operations (UK) and UK Infrastructure forecasting.
Responsibilities
  • Build and maintain forecasting models, using time series, regression, and machine learning, to support contact forecasting, headcount and license planning, and budgeting.
  • Partner with stakeholders to frame planning and forecasting problems, develop supporting metrics and diagnostics, and support high-quality decisions.
  • Surface productivity and efficiency improvements using budget and financial performance data.
  • Present recommendations to leadership, drive timely decisions, and communicate clearly with cross-functional partners.
  • Partner with operational planning and other analytics teams to understand the business context for headcount and workforce scheduling, and get the data needed for accurate forecasts.
  • Stay current on the business and our changing technical environment.
What We Look For
  • Bachelor's, Master's, or PhD in a quantitative field (e.g., statistics, industrial engineering, operations research) and 5+ years solving forecasting, planning, or related quantitative problems.
  • Strong proficiency in SQL and Python or R, and hands-on experience with a modern cloud-native data platform (e.g., Databricks, Snowflake, BigQuery, or equivalent).
  • Hands-on experience using AI/LLM tooling across the analytics workflow: writing, validating, and iterating on AI-generated SQL and Python, and integrating AI outputs into analyses that stakeholders trust.
  • Experience building optimization models using linear programming techniques (e.g., CPLEX, Gurobi) is a plus.
  • Strong experience developing and validating statistical forecasting models, with disciplined approaches to performance measurement, backtesting, and robust error tracking.
  • Proven ability to independently structure ambiguous problems and select the appropriate analytical approach without predefined direction.
  • Clear, persuasive communicator with strong stakeholder management skills and the ability to influence senior leaders across technical and non-technical audiences.
  • Strong bias toward automation: treat repetitive manual work as avoidable drudgery and build durable, automated systems, delegating to machines what they can do more reliably and efficiently than humans.
  • High standards of humility, honesty, and ownership: you take responsibility for outcomes, invest in your own growth, and actively develop others.

Pay Grade - K
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $140,000 - $190,000
USA base pay range (all other U.S. states) per year: $124,000 - 174,000
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.