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Data Analyst Machine Learning Jobs in Texas (NOW HIRING)

Ascentt

Manufacturing Data Analyst

Plano, TX · On-site

We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our ... Map and analyze plant operations, shop floor, and production data * Conduct current-state ...

Avride

Machine Learning Engineer

Austin, TX

Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ...

1872 Consulting

Machine Learning Engineer

Austin, TX

Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for ... export, and analyze their data to inform decisions and streamline business. They are looking to ...

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

The data science analyst will also analyze and manipulate large-scale data sets from a multitude of ... Apply various machine learning techniques to build predictive models. * Continually engage in ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Knowledge of data preprocessing and feature engineering * Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level. This is a dynamic opportunity to become the expert on ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and ...

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All JobsData Analyst Machine Learning JobsData Analyst Machine Learning Jobs in Texas

Data Analyst Machine Learning information

See Texas salary details

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How much do data analyst machine learning jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data analyst machine learning in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Analyst Machine Learning position, and why are they important?

To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting results, understanding business context, and developing models remains essential in the field of data analysis and machine learning.

Is 40 too late for data science?

For a Data Analyst Machine Learning role, age is not a barrier to entering the field. Success depends on acquiring relevant skills such as programming, statistics, and machine learning tools, which can be learned at any age through online courses or certifications.

What is a Data Analyst Machine Learning job?

A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.

What are the typical career progression opportunities for someone in a Data Analyst Machine Learning role?

Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.

Do data analysts work with machine learning?

Data analysts often work with machine learning by preparing data, performing exploratory data analysis, and applying basic models to support decision-making. However, more advanced machine learning tasks are typically handled by data scientists or machine learning engineers who have specialized skills in algorithms and programming tools like Python or R.

What is the salary of data analyst in AI ML?

The salary of a Data Analyst specializing in AI and machine learning typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with skills in Python, R, SQL, and machine learning frameworks may command higher salaries, especially in tech hubs or companies focusing on AI projects.
What are the most commonly searched types of Data Analyst Machine Learning jobs in Texas? The most popular types of Data Analyst Machine Learning jobs in Texas are:
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Data Analyst Machine Learning jobs near you
Senior AI Data Analyst

Senior AI Data Analyst

Smarter HR Solutions LLC

Houston, TX

$52 - $54/hr

Full-time

Posted 27 days ago

Job description

***Please note: This position is onsite and not remote. Candidates must be based in the Houston area, as relocation assistance is not provided. Only individuals authorized to work in the U.S. without sponsorship will be considered.***

Job Title: Senior AI Data Analyst
Job Type: Contract (this role is a 12-month assignment)
Job Salary: $52-$54/hour
Job Schedule: M-F, 40 hrs/week
Job Location: Houston, TX 77092

Position Overview

We are seeking a Senior AI Data Analyst to lead the design, development, and deployment of advanced analytics and artificial intelligence solutions in a large, data-driven public service environment.

This role plays a critical part in modernizing operations through responsible use of AI, improving service delivery, increasing efficiency, and supporting evidence-based decision-making. The ideal candidate blends strong technical expertise with the ability to translate complex insights into actionable strategies for leadership and stakeholders.

Key Responsibilities
AI & Advanced Analytics
  • Design, build, and deploy machine learning models, predictive analytics solutions, NLP tools, and AI-driven automation
  • Lead full lifecycle model development: data acquisition, feature engineering, training, validation, deployment, and monitoring
  • Apply responsible AI practices to ensure fairness, explainability, and transparency
Data Strategy & Governance
  • Maintain data quality standards, metadata practices, and model documentation
  • Partner with IT and cybersecurity teams to ensure secure handling of sensitive data
  • Support development of AI governance, ethics frameworks, and model risk management processes
Stakeholder Collaboration
  • Identify opportunities to leverage AI to improve operations and service outcomes
  • Communicate complex findings into clear, actionable insights for executive leadership
  • Provide mentorship and technical guidance to analysts and cross-functional teams
Reporting & Visualization
  • Develop dashboards, reports, and visualizations to track KPIs, trends, and forecasts
  • Build and maintain Business Intelligence solutions (e.g., Power BI)
  • Integrate AI-driven insights into reporting for real-time decision-making

Requirements
Required Qualifications
  • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s preferred)
  • 5+ years of experience in data analytics, data science, or AI/ML roles
  • Hands-on experience with machine learning model development and deployment
  • Proficiency in Python, SQL, and data visualization tools (Power BI, Tableau, or similar)
  • Experience with NLP, predictive modeling, or automation solutions
  • Strong understanding of data governance, model validation, and performance metrics (e.g., MAE, F1, AUROC)
  • Excellent communication skills with ability to present technical insights to non-technical audiences
Preferred Qualifications
  • Experience working with large, complex datasets in regulated environments
  • Familiarity with MLOps, model monitoring, and lifecycle management
  • Exposure to geospatial analytics, LLMs, or advanced AI frameworks
  • Experience implementing responsible AI or ethical AI frameworks
What You’ll Deliver
  • Production-level AI solutions improving internal workflows or customer-facing services
  • Executive-facing dashboards with near real-time insights
  • Established data quality standards and governance practices
  • AI governance workflows including bias testing, documentation, and monitoring
  • Scalable processes for cross-functional AI project delivery