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Data Scientist Machine Learning Jobs in Houston, TX

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine learning * Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics ...

Mindlance

Data Scientist

Houston, TX · On-site

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence, and machine learning to apply advanced analytics in business contexts. Qualifications : Required ...

Mindlance

Data Scientist

Houston, TX · On-site

They are seeking a Data Scientist with extensive experience in data mining and machine learning to tackle business analytics challenges. Qualifications : Required : • Minimum 8 years of relevant ...

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based ...

HP Development Company, L.P.

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able ...

W3Global

Senior Data Scientist

Houston, TX · On-site

Senior Data Scientist - GenAI / RAG Location: Houston, TX (Onsite - 5 Days) Type: Full-Time We are ... Machine Learning (ML) Deep Learning (DL): Hands-on experience with: Generative AI (LLMs, RAG ...

NOV, Inc.

Senior Data Scientist

Houston, TX

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business ... Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Reports to: VP Data & Analytics As a Senior Data Scientist , you will: * Partner with business ... Architect scalable machine learning and forecasting solutions within cloud platforms such as AWS ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Houston, TX

Data Scientist Machine Learning information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

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

As of Jul 27, 2026, the average yearly pay for data scientist machine learning in Houston, TX is $117,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

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

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Houston, TX? The most popular types of Data Scientist Machine Learning jobs in Houston, TX are:
What are popular job titles related to Data Scientist Machine Learning jobs in Houston, TX? For Data Scientist Machine Learning jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Houston, TX look for? The top searched job categories for Data Scientist Machine Learning jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Scientist Machine Learning jobs? Cities near Houston, TX with the most Data Scientist Machine Learning job openings:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,212 per year, or $56.4 per hour.

Data Scientist

Beth Page tech

Houston, TX • On-site

Contractor

Posted 2 days ago

Job description

Job Title: Data Scientist

Location: Houston, TX (Fulltime)

Environment: Standard, 5-days onsite

Job Description :

Must-Have (Technical Expertise & Core Responsibilities)

  • Data Science & Machine Learning:
    • Strong foundation in mathematics, statistics, and machine learning
    • Experience with exploring and extracting insights from multi-dimensional datasets
    • Proficiency in Python (clean, modular, well-documented code)
    • Experience with data visualization tools (D3.js, Bokeh, Plotly, or similar)
  • Domain Knowledge:
    • Ability to understand commodity trading/energy sector datasets and business needs
    • Experience translating complex models into actionable commercial insights

Core Responsibilities:

  • Develop and implement machine learning models to transform energy trading operations
  • Lead Proof of Concept (PoC) projects including:
    • Automated information extraction from unstructured data
    • Refinery outage prediction
    • Shipping cost forecasting
    • Gas network disruption analysis
  • Create data visualizations for both technical and non-technical stakeholders
  • Collaborate with domain experts to design user-friendly ML solutions
  • Work with Data Science and IT teams to leverage existing tools for business value

Qualifications & Skills:

  • Master's/PhD in Computer Science, Data Science, or equivalent experience
  • 4-7 years of industry experience working with real-world datasets
  • Experience with Agile Scrum development methodology
  • C# development experience (plus)

Nice-to-Have (Preferred Experience):

  • Background in commodity trading, energy markets, or financial services
  • Experience with big data technologies and cloud platforms
  • Knowledge of optimization techniques for business applications