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Mathematical Optimization Remote Jobs in Phoenix, AZ

Remote from the following states: AZ, AK , AR, CO , DC , FL, HI , IA, ID, IL , KS, LA, MD , MN , MO ... Health Cloud Optimization: Customize and scale Salesforce Health Cloud to meet evolving business ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Identifies opportunities to maximize data usage, applying modeling and optimization methods to ... EDUCATION And EXPERIENCE Bachelor's degree from top tier school in computer science, math ...

Principal Software Engineer

Phoenix, AZ · On-site +1

$134K - $179K/yr

Charlotte, NC, Phoenix, AZ and Remote is not an option. The Principal Software Engineer serves as a ... Code optimization * Automated code review * Quality analysis * Intelligent test generation * Defect ...

Principal Software Engineer

Phoenix, AZ · On-site +1

$134K - $179K/yr

Charlotte, NC, Phoenix, AZ and Remote is not an option. The Principal Software Engineer serves as a ... Code optimization * Automated code review * Quality analysis * Intelligent test generation * Defect ...

Sr. Analyst - Healthcare Analytics

Phoenix, AZ · On-site +1

$83K - $109K/yr

Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, Finance, Economics, or ... Advanced SQL skills with experience querying, transforming, validating, and optimizing large ...

... optimal approaches to deliver outcomes. Act as initial point of escalation for participant ... Ability to apply advanced mathematical concepts utilizing current spreadsheet and accounting ...

Sr. Analyst - Healthcare Analytics

Phoenix, AZ · Remote

$90K - $119K/yr

Bachelor's degree in Statistics, Mathematics, Engineering, Computer Science, Finance, Economics, or ... Advanced SQL skills with experience querying, transforming, validating, and optimizing large ...

Mathematical Optimization Remote information

See Phoenix, AZ salary details

$82.9K

$126.1K

$169.8K

How much do mathematical optimization remote jobs pay per year?

As of Aug 3, 2026, the average yearly pay for mathematical optimization remote in Phoenix, AZ is $126,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $142,500.00 per year, depending on experience, location, and employer.

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

Remote mathematical optimization professionals often encounter challenges such as limited real-time collaboration with team members, managing complex problem-solving tasks independently, and ensuring effective communication of technical findings to non-technical stakeholders. To address these challenges, it's helpful to establish regular virtual meetings, use collaborative tools for sharing code and results, and develop clear documentation. Additionally, proactively seeking feedback and staying engaged with the broader team can help maintain alignment and foster innovation.

What is a Mathematical Optimization Remote job?

A Mathematical Optimization Remote job involves using mathematical techniques and algorithms to solve optimization problems, such as maximizing efficiency or minimizing costs, while working from a remote location. Professionals in this field apply optimization theory, modeling, and computational methods to real-world problems in industries like logistics, finance, engineering, and data science. Remote roles allow for flexibility, enabling collaboration with teams and clients online while leveraging specialized software and programming languages such as Python, MATLAB, or R.

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

AspectMathematical Optimization RemoteData Analyst Remote
Required CredentialsDegree in Mathematics, Operations Research, or related field; proficiency in optimization softwareDegree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentRemote, often collaborative with teams on complex modeling projectsRemote, focused on data collection, visualization, and reporting
Industry UsageFinance, logistics, supply chain, tech companiesMarketing, finance, healthcare, tech companies
Common Search/ComparisonYesNo

Mathematical Optimization Remote specialists focus on developing algorithms to optimize processes and decision-making, often requiring advanced mathematical skills. Data Analysts Remote interpret data to provide insights, using statistical tools. While both roles are remote and involve data, they differ in technical focus and industry applications.

What are the key skills and qualifications needed to thrive as a Mathematical Optimization Specialist working remotely, and why are they important?

To thrive as a Mathematical Optimization Specialist in a remote setting, you need a strong background in mathematics, operations research, or computer science, often supported by an advanced degree. Proficiency with optimization software (such as Gurobi, CPLEX, or MATLAB), programming languages like Python or R, and familiarity with cloud-based collaboration tools is typically required. Excellent problem-solving abilities, self-motivation, and clear communication skills help you stand out when collaborating with distributed teams and stakeholders. These skills and qualities are crucial for efficiently developing, implementing, and explaining optimization solutions in a remote work environment.
What are popular job titles related to Mathematical Optimization Remote jobs in Phoenix, AZ? For Mathematical Optimization Remote jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Mathematical Optimization Remote jobs in Phoenix, AZ look for? The top searched job categories for Mathematical Optimization Remote jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Mathematical Optimization Remote jobs? Cities near Phoenix, AZ with the most Mathematical Optimization Remote job openings:
Infographic showing various Mathematical Optimization Remote job openings in Phoenix, AZ as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,131 per year, or $60.6 per hour.

Principal Platform Engineer - Connected Aviation (Remote)

Collins Aerospace

Phoenix, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Collins Aerospace rating

8.4

Company rating: 8.4 out of 10

Based on 250 frontline employees who took The Breakroom Quiz

30th of 71 rated aerospace companies


Job description

Date Posted:

2026-05-07

Country:

United States of America

Location:

US-AZ-REMOTE

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Must be authorized to work in the U.S. without the company’s immigration sponsorship now or in the future. The company will not offer immigration sponsorship for this position.​ The company will not seek an export authorization for this role.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

Aviation connects the world and Connected Aviation (CA) connects Aviation. Sustainably. Seamlessly. Securely. Connected Aviation (CA) is a business unit within Collins Aerospace’s Avionics portfolio which aims to bring many connectivity and digital solutions to life and fulfill Connected Ecosystem, one of the strategic pillars of our company.

The Aviation Intelligence (AI) team within CA Engineering has the end-to-end responsibility to ensure that Collins Aerospace and broader RTX data assets are managed with integrity and quality while being consumed by our critical customer facing applications - whether via API’s, analytics and/or data visualizations, or data reporting.  We would like to offer you an opportunity to be a Senior Platform Engineer within our team where you will play an integral role in a high growth and high visibility area of the Collins Aerospace company.

As a Principal Platform Engineer on the Aviation Intelligence team, you will be responsible for leading critical projects and coordination for the department, supporting our Ascentia and FlightAware crews that focus on AI/ML projects, data science and data management.

What You Will Do:

  • Own and evolve AWS infrastructure supporting data platform, ML training, and analytics workloads (Iceberg/Trino, ETL pipelines, Kubeflow/MLflow)

  • Design, deploy, and maintain EKS-based services and Kubernetes workloads

  • Build and manage Terraform infrastructure across environments (dev/staging/prod)

  • Design and maintain CI/CD pipelines for infrastructure and application deployment (GitLab/GitHub)

  • Operate and improve Kafka/Redpanda clusters

  • Improve reliability, observability, and performance of prediction services

  • Support Dagster for data workflow orchestration

  • Collaborate with Data Science, ML Engineering, and Data Engineering to productionize models and data pipelines

  • Strengthen AWS IAM, networking, and connectivity between cloud and on-prem systems

  • Support cyber hardening efforts with our RTX cyber team

  • Identify and incrementally improve existing infrastructure and deployment patterns

Qualifications You Must Have:

  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience

  • Proficiency with Python.

  • Strong experience with AWS (EKS, IAM, VPCs, networking)

  • Hands-on Kubernetes experience operating production workloads

  • Experience managing Kafka (or Redpanda) in production environments

  • Proficiency with Terraform for infrastructure as code

  • Experience building and maintaining CI/CD pipelines (GitLab, GitHub Actions, or similar)

  • Solid understanding of distributed systems, reliability, and scaling

  • Experience supporting production data pipelines or ML systems

  • Experience with observability stacks (Prometheus, Grafana, Thanos, etc.)

Qualifications We Prefer:

  • Experience with Kafka Connect

  • Experience with Rust or a willingness to learn it.

  • Familiarity with Dagster, Airflow or other modern ETL orchestration tools

  • Background supporting ML/AI systems in production (MLOps)

  • Experience optimizing infrastructure for performance and cost

  • Familiarity with Iceberg, Spark, Elasticsearch and other large-scale data processing systems

  • Experience working in hybrid infrastructure environments (cloud + on-prem Kubernetes)

What We Offer: 

Some of our competitive benefits package includes: 

  • Medical, dental, and vision insurance 

  • Three weeks of vacation for newly hired employees 

  • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option 

  • Tuition reimbursement program 

  • Student Loan Repayment Program 

  • Life insurance and disability coverage 

  • Optional coverages you can buy: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection 

  • Birth, adoption, parental leave benefits 

  • Ovia Health, fertility, and family planning 

  • Adoption Assistance 

  • Autism Benefit 

  • Employee Assistance Plan, including up to 10 free counseling sessions 

  • Healthy You Incentives, wellness rewards program 

  • Doctor on Demand, virtual doctor visits 

  • Bright Horizons, child and elder care services 

  • Teladoc Medical Experts, second opinion program 

  • And more! 

Learn More & Apply Now! 

Avionics:  

Avionics delivers advanced cockpit displays, vision systems, and comprehensive digital solutions for global government, commercial and business aviation customers. We provide connectivity and managed data services to ensure safety and seamless communication for passengers, crews, and militaries, from aircraft and airports to air traffic management. Join us in creating solutions that connect the world, one flight at a time. Start your application today. 

*Please ensure the role type (defined below) is appropriate for your needs before applying to this role. 

  • Remote: Employees who are working in Remote roles will work primarily offsite (from home).  An employee may be expected to travel to the site location as needed. 

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.  

Apply now and be part of the team that’s redefining aerospace, every day. 

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms


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About Collins Aerospace

Sourced by ZipRecruiter

Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers' toughest challenges and to meet the demands of a rapidly evolving global market.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2018