2

Full Time Data Scientist Machine Learning Jobs in Houston, TX

Develop, deploy, and maintain machine learning models and advanced analytics solutions * Design and ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering ...

This role sits at the intersection of applied research, machine learning engineering, data science ... Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No ...

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 ...

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

Expertise in statistical modeling, machine learning, and predictive analytics. * Strong proficiency ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve complex problems related to downhole tools, signal processing, and formation evaluation. The ...

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

New

Strong foundation in data science and core machine learning concepts. * Experience with large ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

Design and execute research of open-ended problems related to data analytics, Machine Learning, and ... Houston, Texas * Employment Type: Full-time, flexible schedule * Compensation: Competitive ...

next page

Showing results 1-20

Full Time Data Scientist Machine Learning information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

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

As of Aug 22, 2026, the average yearly pay for full time 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 does a full time data scientist specializing in machine learning do?

A Full Time Data Scientist specializing in Machine Learning is responsible for analyzing large datasets to discover patterns and insights, and for building, testing, and deploying machine learning models to solve business problems. They use statistical techniques, programming skills, and domain knowledge to turn raw data into actionable information. Their day-to-day tasks often include data cleaning, feature engineering, model selection, and performance evaluation. They also collaborate with other teams to integrate machine learning solutions into products or decision-making processes. This role typically requires proficiency in languages like Python or R, and familiarity with tools such as TensorFlow, scikit-learn, or PyTorch.

What are the key skills and qualifications needed to thrive as a full time data scientist specializing in machine learning?

To thrive as a Full Time Data Scientist Machine Learning, you need strong analytical skills, expertise in statistics, machine learning techniques, and a relevant degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning libraries like TensorFlow or scikit-learn, and familiarity with data visualization and big data platforms are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with stakeholders and translating data insights into business value. These skills are crucial for developing robust models, interpreting complex data, and driving impactful, data-driven decisions within organizations.

What are some common challenges faced by full time data scientists specializing in machine learning, and how can they be addressed?

Full-time Data Scientists in Machine Learning often encounter challenges such as dealing with messy or incomplete data, tuning complex models for optimal performance, and effectively communicating technical insights to non-technical stakeholders. Addressing these challenges usually involves collaborating closely with data engineers to improve data quality, staying updated with the latest ML techniques, and developing strong communication skills to translate findings into actionable business strategies. Additionally, regular code reviews and participation in cross-functional meetings help ensure alignment and foster a supportive team environment.

What is the difference between Full Time Data Scientist Machine Learning vs Data Analyst?

AspectFull Time Data Scientist Machine LearningData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization and SQL
Work EnvironmentDeveloping ML models, programming in Python/R, deploying algorithmsData cleaning, reporting, creating dashboards, analyzing datasets
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Full Time Data Scientist Machine Learning roles focus on building and deploying machine learning models, requiring advanced programming and statistical skills. Data Analysts primarily interpret data, generate reports, and support decision-making with less emphasis on ML techniques. Both roles are vital but differ in technical depth and responsibilities.

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:

Data Scientist

Waste Connections

The Woodlands, TX • On-site

Full-time

Posted 5 days ago


Waste Connections rating

7.4

Company rating: 7.4 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

29th of 91 rated recycling and waste


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.

What Waste Connections employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom