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Data Analyst Machine Learning Jobs in Texas (NOW HIRING)

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 ...

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Data Analysis: Analyze large, diverse data sets to identify patterns, trends, and insights that ...

Process, analyze, and manipulate large structured and unstructured datasets to support analytics and machine learning initiatives. * Collaborate with data engineers, data scientists, product owners ...

New

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 ...

The ideal candidate should have strong expertise in Python, statistics, machine learning, and data analytics. Key Skills: -- Strong experience with Python, SQL, and statistical analysis -- Machine ...

New

Data Scientist

San Antonio, TX · On-site

$110 - $150/hr

Develop and deploy analytics, machine learning, natural language processing, and AI solutions that ... Perform data acquisition, ETL, exploratory data analysis, data preparation, feature engineering ...

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

Data analysis and feature engineering: Apply your expertise to identify and generate features that ... Use machine learning and statistical modelling techniques such as Decision Trees, Logistic ...

SIMILAR CAREER TITLES Data Analyst, Machine Learning Engineer, Data Engineer, Business Intelligence Analyst, Artificial Intelligence Specialist, Statistician, Predictive Modeler, Research Scientist ...

Showing results 41-60

Data Analyst Machine Learning information

What is a data analyst machine learning?

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 key skills and qualifications needed to thrive in the data analyst machine learning role?

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.

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.

What is the salary of data analyst in AI ML?

The average salary for 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 tools tend to earn higher salaries, especially in tech hubs and 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:

Infographic showing various Data Analyst Machine Learning job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Manufacturing Data Analyst

Plano, TX • On-site

Ascentt
IT Services • 11 - 50 employees

Full-time

Re-posted 24 days ago


Job description

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 GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We're hiring passionate builders to shape the future of industrial intelligence.
Role Overview
Are you someone who thrives at the intersection of data and real-world operations?
We're looking for a Manufacturing Data Analyst / Senior Data Analyst to drive a large-scale data transformation initiative across manufacturing plants-working directly on the ground where impact truly happens.
What You'll Do
  • Work on-site at manufacturing plants to understand operations firsthand
  • Map and analyze plant operations, shop floor, and production data
  • Conduct current-state assessments and build data glossaries
  • Partner closely with business stakeholders, plant teams, and leadership
  • Identify high-impact, quick-win opportunities (micro-transformations)
  • Act as a trusted data consultant, not just a developer

What We're Looking For
  • 6+ years of experience in data-focused roles
  • Strong foundation in:
    • Data Warehousing, Data Modeling, Data Structures
    • Data Mapping, Data Analysis
    • Data Governance, Data Architecture, Data Glossary
  • Experience with manufacturing / plant / industrial data (highly preferred)
  • Strong consultative skills: stakeholder management, process mapping, requirements gathering, data strategy
  • Ability to translate complex data into simple business language

Tools & Technologies (Must Have)
SQL, Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines
Industry Experience (Important)
Manufacturing, Automotive, Industrial, Supply Chain, Production, Heavy Industry
Nice-to-Have
Lean Manufacturing, Six Sigma, IIoT, Smart Factory, Industry 4.0
Location & Travel
  • Highly on-site role
  • Preferred: Kentucky, Indiana, North Carolina (Raleigh)
  • Open to candidates willing to travel frequently or relocate

Why This Role?
This isn't a typical data role.
You'll be:
  • Building trust with plant teams
  • Driving real transformation from the ground up
  • Acting as a bridge between data strategy and shop-floor execution