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Machine Learning Data Associate Jobs in Porter, TX

Waste Connections

Data Scientist

The Woodlands, TX · On-site

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 ...

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 ...

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Hp

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 ...

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 ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications. We work across the ...

Oxy

Machine Learning Expert

Houston, TX

Communicate results clearly to geophysicists, data scientists, and asset teams. Qualifications: * M ... Demonstrated experience applying machine learning to geophysical or other physics-based scientific ...

New

Crowe LLP

Machine Learning Intern

Houston, TX · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

Crowe LLP

Machine Learning Intern

The Woodlands, TX · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Porter, TX

Machine Learning Data Associate information

See Porter, TX salary details

$8

$17

$27

How much do machine learning data associate jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for machine learning data associate in Porter, TX is $17.01, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.12 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What are the key skills and qualifications needed to thrive as a machine learning data associate?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a machine learning data associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near Porter, TX are hiring for Machine Learning Data Associate jobs?

Cities near Porter, TX with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in Porter, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $35,381 per year, or $17 per hour.

Data Scientist

The Woodlands, TX • On-site

Waste Connections
See more jobs at Waste Connectionsexternal

Full-time

Posted 27 days ago

Waste Connections rating

7.4

Company rating: 7.4 out of 10

Based on 267 frontline employees who took The Breakroom Quiz

Job description

Waste Connections is seeking a Data Scientist to join our growing Analytics & AI team. 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.
Essential Duties and 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

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

What We Offer
  • Opportunity to work on high-impact business problems

  • Exposure to analytics, machine learning, data engineering, and AI initiatives

  • Direct interaction with business leaders and decision-makers

  • Ownership of projects from concept through production deployment

  • Collaborative team environment with strong opportunities for growth and development

Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.

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