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Optimization Jobs in Arizona (NOW HIRING)

AXS

Sr. Product Manager, Technical SEO

Scottsdale, AZ · On-site

$127K - $168K/yr

The Role We are looking for a Senior Product Manager - Technical SEO to own and drive technical SEO strategy across a large-scale, internationally distributed website. This is a senior role with ...

Octane Multimedia LLC

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Social Media & SEO Specialist (Film Campaign)

Scottsdale, AZ · On-site

$1.0K - $100K/yr

Social Media & SEO Specialist (Film Campaign) Job Title: Social Media & SEO Specialist (Temporary, 3 to 6 Months) Location: Remote (U.S. Preferred) Job Type: Temporary / Contract (3 to 6 Months ...

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Octane Multimedia LLC

Be Seen First

Social Media & SEO Specialist (Film Campaign)

Scottsdale, AZ · On-site

$1.0K - $100K/yr

Social Media & SEO Specialist (Film Campaign) Job Title: Social Media & SEO Specialist (Temporary, 3 to 6 Months) Location: Remote (U.S. Preferred) Job Type: Temporary / Contract (3 to 6 Months ...

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All JobsOptimization JobsOptimization Jobs in Arizona

Optimization information

See Arizona salary details

$37

$55

$76

How much do optimization jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for optimization in Arizona is $55.58, according to ZipRecruiter salary data. Most workers in this role earn between $40.34 and $68.56 per hour, depending on experience, location, and employer.

What is an optimization job?

An optimization job involves analyzing and improving processes, systems, or performance to increase efficiency and effectiveness. Roles often require skills in data analysis, problem-solving, and familiarity with tools like Excel or specialized software. These jobs are common in fields such as operations, marketing, and supply chain management.

What hot tech job pays $775 000?

High-level roles in technology, such as senior software engineers, data scientists, or machine learning engineers, can reach salaries of $775,000 or more, especially with extensive experience, specialized skills, and stock options. Executive positions like CTOs or chief data officers in large companies may also earn compensation in this range.

What jobs use optimization?

Optimization is used in a variety of jobs including operations research analysts, data scientists, supply chain managers, and financial analysts. These roles involve improving processes, algorithms, or strategies to increase efficiency, reduce costs, or maximize outcomes, often utilizing tools like mathematical modeling, statistical analysis, and specialized software.

What are optimization jobs?

Optimization jobs refer to roles that focus on improving systems, processes, or products to achieve the best possible performance, efficiency, or outcomes. These positions can be found in various industries, including engineering, data science, logistics, and business operations. Professionals in optimization analyze data, identify inefficiencies, and develop solutions using mathematical models, algorithms, or process improvements. Their goal is to maximize value while minimizing costs or resource use. Common job titles in this field include Optimization Engineer, Data Optimization Analyst, and Operations Research Analyst.

What is the difference between Optimization vs Data Analyst?

AspectOptimizationData Analyst
Required CredentialsOften requires degrees in mathematics, statistics, or related fields; certifications like Google Data Studio or Six SigmaTypically requires degrees in statistics, computer science, or related fields; certifications like Microsoft Excel or Tableau
Work EnvironmentPrimarily analytical, project-based, often in marketing, e-commerce, or manufacturingData-driven, reporting-focused, in various industries including finance, healthcare, and tech
Employer & Industry UsageUsed by companies aiming to improve processes, efficiency, and performanceUsed by organizations to interpret data, generate reports, and support decision-making

While both roles involve data analysis, Optimization focuses on improving processes and performance through analytical techniques, whereas Data Analysts primarily interpret data and generate reports to inform business decisions.

What jobs pay 4000 a week without a degree?

In the field of optimization, high-paying roles such as freelance consultants, digital marketers, or sales managers can earn around $4,000 weekly without a formal degree, often relying on experience, skills, and certifications. These jobs typically require strong analytical abilities, proficiency with relevant tools, and a results-driven approach, with some roles offering flexible schedules and remote work options.

What are the key skills and qualifications needed to thrive as an Optimization Specialist, and why are they important?

To thrive as an Optimization Specialist, you need strong analytical skills, a background in mathematics or engineering, and experience with data-driven decision-making. Familiarity with optimization software (such as Gurobi or CPLEX), programming languages like Python or R, and relevant certifications in operations research or analytics are typically required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for interpreting results and collaborating with stakeholders. These skills and qualities are crucial for identifying optimal solutions, improving efficiency, and delivering measurable business value.

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

Professionals in optimization roles often encounter challenges such as dealing with incomplete or noisy data, balancing multiple and sometimes conflicting objectives, and ensuring that solutions are scalable for real-world implementation. Addressing these challenges requires strong analytical skills, collaboration with domain experts, and the ability to communicate complex concepts to non-technical stakeholders. Leveraging advanced tools and staying updated with the latest optimization techniques can also enhance problem-solving capabilities and contribute to project success.
What are the most commonly searched types of Optimization jobs in Arizona? The most popular types of Optimization jobs in Arizona are:
What are popular job titles related to Optimization jobs in Arizona? For Optimization jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Optimization jobs in Arizona look for? The top searched job categories for Optimization jobs in Arizona are:
What cities in Arizona are hiring for Optimization jobs? Cities in Arizona with the most Optimization job openings:
Optimization jobs near you
Infographic showing various Optimization job openings in Arizona as of July 2026, with employment types broken down into 6% Internship, 82% Full Time, and 12% Part Time. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $115,616 per year, or $55.6 per hour.
Operational Readiness and Optimization Manager

Operational Readiness and Optimization Manager

Caris Life Sciences

Phoenix, AZ • On-site

Full-time

Re-posted 15 days ago

Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
The Operational Readiness and Optimization Manager is a key role within the Client Services organization, responsible for ensuring seamless operational preparedness and continuous improvement across laboratory-facing workflows. This role serves as the central coordination point for new product launches, workflow enhancements, and system integrations, while leading a high-performing Optimization team. The role drives cross-functional alignment, champions data-driven process improvements, and ensures systems, reporting, and workflows are effectively designed, implemented, and sustained to support operational excellence.
Job Responsibilities
  • Serve as the primary point of accountability for operational readiness related to new product launches, workflow updates, custom workflow implementations, and system integrations.
  • Act as the central coordinator across functional areas to ensure operational and technical preparedness.
  • Develop and execute readiness plans including timelines, risk assessments, mitigation strategies, and go-live criteria.
  • Identify and manage risks, dependencies, and constraints; drive mitigation plans and escalate issues as needed.
  • Lead, coach, and develop the Optimization team, fostering a culture of accountability and continuous improvement.
  • Lead workflow analysis and continuous improvement initiatives using data-driven methods.
  • Oversee SOP creation, governance, and alignment with Quality and Change Control processes.
  • Support and deliver training tied to launches, workflow changes, and system updates.
  • Evaluate and optimize operational tools and systems, partnering with IT and Operations.
  • Support special projects and all other duties as assigned.

Required Qualifications
  • Bachelor's degree or equivalent experience.
  • Minimum 4 years of relevant experience in laboratory, healthcare operations, or client services.
  • Demonstrated experience with operational readiness, process improvement, and project management.
  • Strong understanding of HIPAA and regulated healthcare environments.
  • Excellent written and verbal communication skills.
  • Proficient in Microsoft Office Suite including Word, Excel, and Outlook.

Preferred Qualifications
  • Experience in clinical or molecular laboratory environments.
  • Experience with system implementations (LIMS, CRM, workflow tools).
  • Lean, Six Sigma, or continuous improvement certifications.

Physical Demands
  • Ability to sit, stand, and work at a computer for extended periods.
  • Ability to perform repetitive motions.
  • Ability to lift up to 30 pounds.

Training
  • Completion of all job-specific, safety, and compliance training as required by role responsibilities.

Other
  • Periodic travel required, with occasional evenings, weekends, or holidays.
  • May require after-hours response to urgent operational issues.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

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