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Data Science Jobs in Houston, TX (NOW HIRING)

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 ...

... science, utilizing NLP and Machine Learning techniques, and creating scalable Restful APIs. Responsibilities : • Identify, retrieve, manipulate, relate and/or exploit multiple structured data and ...

The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment. Roles and Responsibilities * Design ...

Data Science Statistical Modeling * GenAI / Generative AI * LLMs * RAG * Agentic AI / AI Agents * LangChain / LangGraph * AWS Bedrock * Vector Databases * SQL * Machine Learning Model Deployment ...

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 ...

Data Scientist

Houston, TX · On-site

$12K - $78K/yr

Seven or more years of experience in data science * Proficiency with data mining, mathematics, and statistical analysis * Advanced experience in pattern recognition and predictive modeling

You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies. Key Responsibilities AI/ML Model Development * Design, train, fine-tune ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Data Scientist - Process Modeling What you will do Let's do this. Let's change the world. In this ...

Keep abreast of the latest data science techniques and technologies. Explore and implement innovative solutions to improve data analysis, modeling capabilities, and business outcomes. * Communicate ...

Showing results 41-60

Data Science information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

How much do data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science 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 data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Houston, TX?

The most popular types of Data Science jobs in Houston, TX are:

What are popular job titles related to Data Science jobs in Houston, TX?

For Data Science jobs in Houston, TX, the most frequently searched job titles are:

What cities near Houston, TX are hiring for Data Science jobs?

Cities near Houston, TX with the most Data Science job openings:

Infographic showing various Data Science job openings in Houston, TX as of August 2026, with employment types broken down into 57% Full Time, 5% Part Time, 5% Temporary, and 33% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $117,212 per year, or $56.4 per hour.

Data Scientist

Waste Connections

The Woodlands, TX • On-site

Full-time

Posted 18 days ago


Waste Connections rating

7.4

Company rating: 7.4 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

29th of 92 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.

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