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Focus Optimization Jobs (NOW HIRING)

Strong experience with programming in Python with a focus on Data Science and Optimization. * Experience with cloud deployment, orchestration and operations of optimization models. * Strong ...

Strong experience with programming in Python with a focus on Data Science and Optimization. * Experience with cloud deployment, orchestration and operations of optimization models. * Strong ...

Requirements • Bachelor's degree preferred, with a focus on marketing, communications, or a related field. • Minimum of three years of experience in SEO or a related field (e.g. agency or client ...

We are looking for a SEO Manager. Main duties of the job is to increase search engine results, bring in more traffic, and overall, help increase brand exposure on the website. Increasing social media ...

Job Qualifications Minimum 4 years of hands‐on experience in SEO, preferably with a focus on the health or healthcare industry. Experience working with popular CMS platforms (WordPress, Joomla ...

SEO Specialist

Des Plaines, IL · On-site

$60K - $80K/yr

Our focus is on helping customers grow and achieve success in the digital space. We cover a variety ... The SEO Specialist's primary function is to facilitate the day-to-day execution of organic search ...

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Focus Optimization information

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$16K

$55.8K

$102K

How much do focus optimization jobs pay per year?

As of Jun 6, 2026, the average yearly pay for focus optimization in the United States is $55,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $72,500.00 per year, depending on experience, location, and employer.

What jobs make $3,000 a month without a degree?

Focus optimization roles often include positions such as digital marketing specialists, sales representatives, or administrative coordinators, which can pay around $3,000 monthly with relevant skills and experience. Many of these jobs require strong communication, organization, or technical skills but do not necessarily require a college degree.

What is the difference between Focus Optimization vs Content Optimization?

AspectFocus OptimizationContent Optimization
Primary GoalEnhance website focus to improve user experience and relevanceImprove content quality, keywords, and readability
Skills & CertificationsSEO strategy, UX design, analyticsCopywriting, SEO writing, content management
Work EnvironmentDigital marketing agencies, in-house marketing teamsContent teams, marketing departments

Focus Optimization concentrates on refining website structure and user experience to boost overall relevance, while Content Optimization targets improving individual content pieces for better search rankings. Both roles are essential in SEO but focus on different aspects of website performance.

What cities are hiring for Focus Optimization jobs? Cities with the most Focus Optimization job openings:
Infographic showing various Focus Optimization job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $55,794 per year, or $26.8 per hour.
Optimization Engineer

Optimization Engineer

Tenaska

Irving, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

Tenaska is one of the largest privately held companies in the United States, an organization that's adept in natural gas and power marketing, power management, development and acquisition of generation assets, operation of power plants and more.
Applicants must be authorized to work for any employer in the U.S. The Company is not able to take over sponsorship of an employment visa at this time for this position or commit to doing so in the future for individuals with current authorization to work via, for example, CPT or OPT, and would need sponsorship in the future.
Position Summary:
The Optimization Engineer will support the development of new and existing optimization and forecasting algorithms and related technologies.
Essential Job Functions:
  • Work with Vice President, Strategic Technology and team to design, implement and improve optimization technologies around various energy-related problems.
  • Support research and development of new optimization algorithms and implementations when required to solve specific business problems
  • Develop necessary software for optimization and prediction models.
  • Design and build necessary systems for simulation and back-testing of optimization and prediction models
  • Develop reports to evaluate real-world performance of trained models
  • Other projects as assigned
  • Dependable, reliable, and predictable attendance is required

Knowledge, Skill, and Abilities:
  • Applicants must be authorized to work for any employer in the U.S. The Company is not able to take over sponsorship of an employment visa at this time for this position or commit to doing so in the future for individuals with current authorization to work via, for example, CPT or OPT, and would need sponsorship in the future.
  • Undergraduate degree in Physics, Mathematics, Engineering or related fields and graduate degree or equivalent professional experience in Operations Research, Electrical Engineering or related field with strong computer science training and experience.
  • Advanced-level experience with optimization tools such as CPlex, HiGHS and Gurobi.
  • Strong skills in applied computational mathematics, optimization, and simulation programming.
  • Experience with commercial and open-source power system modelling software such as Pandapower, PowerModels.jl, ETAP, PowerWorld, Plexos, etc. preferred but not required.
  • Strong experience with programming in Python with a focus on Data Science and Optimization.
  • Experience with cloud deployment, orchestration and operations of optimization models.
  • Strong background in Deep Learning algorithms as applied to optimization and control problems with specific experience in Reinforcement Learning and other training methods.
  • Experience with machine learning libraries and algorithms such as PyTorch.
  • Experience with machine learning data preparation concepts (cross validation, folding, boosting, feature engineering) with clear understanding of time series related concerns.
  • Able to quickly learn necessary skills and information to be effective in position where necessary.
  • Curious, inquisitive, creative, exploration-driven, and self-motivated with a passion for applied Machine Learning and optimization.

Benefits:
At Tenaska we care about the wellbeing of our employees and their families. That's why we offer our employees a comprehensive benefit package. Benefits included below:
  • Health, dental, vison, disability, and life insurance
  • Excellent 401(k) plan
  • Incentive-based, competitive salary packages
  • Health/dependent care flex accounts
  • Tuition assistance
  • Long-term disability coverage
  • Adoption benefits
  • Employee assistance program
  • Paid vacations and holidays
  • Charitable giving program
  • Paid maternity/paternity leave
  • Wellness programs

Tenaska is an equal opportunity employer.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.