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Optimization Algorithms Jobs in Dallas, TX (NOW HIRING)

Use mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data. Provide business insights and ...

Use mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data. Provide business insights and ...

Java Developer

Irving, TX · On-site

$49 - $63.50/hr

... optimization algorithms and modeling techniques. Candidate will participate in all phases of the software development lifecycle using best practices in object-oriented techniques and Agile. Evaluates ...

Business Operations Specialist

Dallas, TX · On-site

$74K - $103K/yr

Data Analytics • Use mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data and provide ...

Identify and select appropriate mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data and ...

Solution Architect, Senior

Dallas, TX · On-site

$127 - $210/hr

Identify and select appropriate mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data and ...

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Optimization Algorithms information

See Dallas, TX salary details

$40

$59

$80

How much do optimization algorithms jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for optimization algorithms in Dallas, TX is $59.01, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $72.79 per hour, depending on experience, location, and employer.

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Optimization Algorithms jobs in Dallas, TX look for? The top searched job categories for Optimization Algorithms jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Optimization Algorithms jobs? Cities near Dallas, TX with the most Optimization Algorithms job openings:
Infographic showing various Optimization Algorithms job openings in Dallas, TX as of June 2026, with employment types broken down into 4% Internship, 81% Full Time, 6% Part Time, and 9% Contract. Highlights an 49% In-person, and 51% Remote job distribution, with an average salary of $122,731 per year, or $59 per hour.

AI Visibility & Search Strategy Specialist | GEO/SEO

118-WW TMG MFG OPS

Dallas, TX

Full-time

Posted 4 days ago


Job description

Change the world. Love your job. Texas Instruments is seeking a AI Visibility & Search Strategy Specialist . In this role, you will contribute to the strategy for how our technology is perceived by LLMs and Search Engines. This isn't just about keywords; it's aboutGenerative Experience Optimization (GEO)and high-level content strategy. You will use advanced visibility tools to track scores and insights across a strategic list of prompts, translating those scores into actionable recommendations for the business. You will monitor and analyze our Web and AI visibility performance, own specific projectsand interact with various stakeholdersto drive executionand improve visibility. Key Responsibilities Strategy & Execution: Refine strategy, and pivot tactically, to improve SEO and LLM visibility performance based on real-time learnings. This landscape is moving quick, and you must stay ahead of the change and adjust plans accordingly. Defining the Unknown: Traditional metrics no longer tell the whole story. You will help identify new metrics that define success, as well as the methodologies and dashboards required to tell the story. Cross-Functional Collaboration: We depend on many teams for execution. You will act as the bridge, communicating risks and opportunities, championing priorities and resources, and creating collaborative touchpoints with cross-functional teams such as content, IT, and User Experience Team. Fail Fast & Learn: Propose bold, new ideas and testing protocols. We value "positive failure", learning quickly from what doesn't work and doubling down on what does. Data Storytelling: Analyze visibility scores and insights,ensuringthe dataspeaksto stakeholders through clear, high-impact presentations and recommendations. The ideal candidate would be: Nimble and proactive:You have a "startup" mindset within a large organization. You aren't waiting for a manual; you are writing it Curious:You go beyond learning the latest vocabulary, digging into the nuances of LLMs, and where they are going next. You have a natural curiosity about the evolution of how customers search for and find answers. Data-Driven:You are comfortable with ambiguity but obsessed with data. You can find the signal in the noise of visibility scores. Proactive Communicator:You can influence teams you don't manage and present complex concepts to diverse audiences and stakeholders. AI/ LLM Industry thinker: you have a natural curiosity about the evolution of LLM and stay in sync with the search industry evolution. Collaborative: It takes a lot of teams to manage a site as large as TI.com. You can work with multiple teams, address their unique concerns, and juggle multiple priorities Results-focused:Ability to take initiative and ramp quickly on new systems and processes to deliver results. You challenge the status quo; this is a new discipline and requires new solutions. Can wear many hats:You are able to manage a project, influence without authority, develop strategies, propose and execute tactics, and find a story in the data Experience supporting and optimizing a website with a large product catalog Strategic Mindset:Experience in GEOanddeep curiosity to lead in this specific space. Texas Instruments will not sponsor job applicants for visas or work authorization for this position. This role is onsite in Dallas, Texas. No hybrid or remote. Minimum requirements: Bachelor's degree 1 year of experience in SEO including a foundational understanding of SEO best practices and applying them as a strategy 1 year of demonstrated GEO/AEO experience and concrete successful actions taken to improve findability from the LLM. Practical knowledge of evolving GEO strategies and AI search trends Experience with LLM architectures, Search Engine algorithms, and web optimization strategies. Since LLMs rely on structured data, someone who understandshowto make a website "readable" for a bot (experienceusing JSON-LDmarkdownorSchema.org) would be a plus. Basic proficiency in HTML, JavaScript, and CSS Data Analytics and Visualization skills with a proven track record of translating complex data and unstructured problems into results-oriented insights. #J-18808-Ljbffr