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Ai Data Analytics Jobs in Texas (NOW HIRING)

Wise Skulls

AI Data Analytics Lead

Houston, TX · On-site

AI Data Analytics Lead Location: Chicago, IL or Houston, TX (100% Onsite) Duration: 6 months+ (possibility of an extension) Implementation Partner: Infosys End Client: To be disclosed JD: We are ...

DataBank

Director of AI & Data Analytics

Dallas, TX · On-site

We're looking for a hands-on Director of AI & Data Analytics who still loves getting their hands dirty in code. This isn't a 'pure management' role where you sit in meetings all day - You'll spend ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization ... Analyze large-scale structured and semi-structured datasets to generate insights, build predictive ...

Hp

AI Data Scientist - Enterprise AI

Austin, TX

$130K - $205K/yr

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization ... Analyze large-scale structured and semi-structured datasets to generate insights, build predictive ...

USAA

AI Data Scientist

San Antonio, TX · On-site +1

The Opportunity As an experienced AI Data Scientist in the Technology organization at USAA, you ... Assess business needs to propose/recommend analytical and modeling projects to add business value.

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Ai Data Analytics information

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$22

$51

$88

How much do ai data analytics jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for ai data analytics in Texas is $51.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.79 per hour, depending on experience, location, and employer.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.
What are the most commonly searched types of Ai Data Analytics jobs in Texas? The most popular types of Ai Data Analytics jobs in Texas are:
What are popular job titles related to Ai Data Analytics jobs in Texas? For Ai Data Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Data Analytics jobs in Texas look for? The top searched job categories for Ai Data Analytics jobs in Texas are:
What cities in Texas are hiring for Ai Data Analytics jobs? Cities in Texas with the most Ai Data Analytics job openings:
Ai Data Analytics jobs near you
Infographic showing various Ai Data Analytics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $106,090 per year, or $51 per hour.

AI Data Analytics Lead

Wise Skulls

Houston, TX • On-site

Full-time

Posted 4 days ago

Job description

Title: AI Data Analytics Lead
Location: Chicago, IL or Houston, TX (100% Onsite)
Duration: 6 months+ (possibility of an extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
We are seeking an experienced AI Data Analytics Lead with strong expertise in modern AI technologies, particularly Knowledge Graphs and LangGraph, to lead the design and implementation of enterprise AI solutions. The ideal candidate should have a solid software engineering background along with hands-on experience building AI-powered applications using knowledge graph technologies and associated AI frameworks.
Required Skills:
  • 6-10+ years of overall software engineering experience.
  • Hands-on experience with Knowledge Graph technologies.
  • Experience implementing solutions using LangGraph.
  • Strong understanding of Generative AI and associated AI technologies.
  • Experience designing enterprise AI applications and workflows.
  • Strong programming and problem-solving skills.
  • Excellent communication and stakeholder management abilities.

Note:
  • This is a Lead-level position, so overall software engineering experience is more important than years spent exclusively in AI.
  • The client is primarily looking for candidates with demonstrated implementation experience in Knowledge Graph and LangGraph.

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