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Weekend Machine Learning Jobs in Houston, TX (NOW HIRING)

Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and build scalable data pipelines and data products * Perform data analysis, feature engineering ...

Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and build scalable data pipelines and data products * Perform data analysis, feature engineering ...

Responsible for providing technical leadership in the design, development, deployment, and lifecycle management of advanced data science, machine learning, and artificial intelligence solutions for ...

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

Senior Software Engineer

Spring, TX · On-site

$109K - $143K/yr

Integrate, evaluate, and deploy machine learning models - including LLMs, vision models, and audio models - into production software, covering data preprocessing, inference pipelines, evaluation, and ...

Applicants must have 3 years of experience in the following: (1) Applying domain knowledge of oil and gas equipment and production systems to develop or deploy machine learning solutions using ...

Leverages machine learning, network analytics, and large-scale financial data to identify emerging threats, enhance detection effectiveness, reduce false positives, and support regulatory compliance ...

AI Engineer

Houston, TX · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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 ...

Must have knowledge of machine learning, analytical, visualization and programming. * Bachelor's or Master's degree in Petroleum Engineering, Economics, Computer Science, Electrical Engineering or ...

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 ...

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 ...

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Weekend Machine Learning information

What are the most commonly searched types of Machine Learning jobs in Houston, TX?

The most popular types of Machine Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for Weekend Machine Learning jobs?

Cities near Houston, TX with the most Weekend Machine Learning job openings:

Infographic showing various Weekend Machine Learning job openings in Houston, TX as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 22% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Data Scientist

The Woodlands, TX • On-site

Paladin Consulting
Recruiting and Staffing Services • 1 - 5K employees

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title: Data Scientist

Work Location: The Woodlands

Education/Experience Required: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field; 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline


Job Description:

  • This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
  • The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions.
  • This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.

Responsibilities:

  • Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions
  • Develop, deploy, and maintain machine learning models and advanced analytics solutions
  • Design and build scalable data pipelines and data products
  • Perform data analysis, feature engineering, forecasting, and statistical modeling
  • Create dashboards, reports, and self-service analytics tools to support decision-making
  • Monitor, improve, and support production analytics solutions
  • Present findings and recommendations to both technical and non-technical audiences
  • Drive measurable business impact through data-driven insights and operational improvements
  • Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Skills & Qualifications:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field
  • 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline
  • Strong proficiency in Python and SQL
  • Experience building and deploying production machine learning or analytics solutions
  • Experience developing and maintaining data pipelines
  • Strong knowledge of statistics, hypothesis testing, and model evaluation techniques
  • Experience communicating analytical findings to business stakeholders
  • Excellent problem-solving, analytical, and communication skills

Preferred Qualifications

  • Experience with Databricks, Spark, or PySpark
  • Experience with cloud platforms such as AWS or Azure
  • Experience with Tableau, Power BI, or other data visualization tools
  • Experience with modern data architectures and lakehouse environments
  • Experience developing AI-enabled applications
  • Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics