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Data Science Jobs in Houston, TX (NOW HIRING)

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces Work closely with client data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...

Stay current with new AI, ML, and data science technologies. Skills : * Python (Pandas, NumPy, Scikit-learn) * SQL for data extraction and analysis * Statistics and Probability * Machine Learning ...

Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master's Degree in Data Science preferred. Licenses/Certifications: (None ...

... Science function by preparing data, conducting defined components of advanced quantitative analyses, and contributing to statistical, predictive, forecasting, segmentation, and scenario-modeling work.

... incorporate Data Science outputs into operational dashboards and client reporting products. • Contribute to QBR and MBR reporting packages, in coordination with the Logistics Supply Chain ...

... Science function by preparing data, conducting defined components of advanced quantitative analyses, and contributing to statistical, predictive, forecasting, segmentation, and scenario-modeling work.

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field (PhD preferred) * Track record of deploying ML systems processing large-scale datasets with proper ...

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 Aug 8, 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.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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 most commonly searched types of Data Science jobs in Houston, TX? The most popular types of Data Science jobs in Houston, TX 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 100% Full Time. Highlights an 74% In-person, 5% Hybrid, and 21% Remote job distribution, with an average salary of $117,212 per year, or $56.4 per hour.

Lead Property & Casualty Data Scientist

Clearbrook Group Services Inc.

Houston, TX • On-site

$80 - $120/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

Company Overview

Argo and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly‑owned subsidiaries of Clearbrook Holdings Inc. The companies partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence.

Employer

Clearbrook Group Services, Inc.

Duties
  • Own the design and delivery of advanced data science solutions supporting Property and Casualty business objectives.
  • Anticipate business needs and apply advanced statistical modeling, machine learning, and big data techniques to analyze complex datasets and generate actionable insights.
  • Serve as the primary analytics lead for translating business challenges into effective modeling and technical solutions.
  • Lead data science initiatives across the full model lifecycle—data exploration, model development, validation, implementation, and monitoring.
  • Define and maintain modeling standards, methodologies, and best practices to ensure quality, consistency, scalability, and reuse.
  • Provide technical leadership, mentorship, and direction to data scientists and analysts.
  • Incorporate industry trends, competitor intelligence, and emerging analytics techniques into model development and enhancement.
  • Partner with business, analytics, and technology teams to deliver data‑driven solutions aligned with organizational goals and strategic priorities.
Education

Master or foreign equivalent in Computer Information Systems, Computer Science, Mathematics, Statistics, Data Science, Data Analytics, or related field.

Experience

5 years experience as Data Scientist, Senior Analyst, Software Engineer, or related occupation.

Special Requirements
  • At least 1 year of prior work experience in each of the following: SQL, Spark, Python, R, and associated frameworks.
  • Experience working with large datasets using big‑data technologies and scripting.
  • Ability to formulate, approach, analyze, and solve analytical problems using a quantitative, scientific approach.
  • Experience managing data to scale using data summarization, query, and analysis software and tools.
  • Developing and managing projects and leading interdisciplinary teams to accomplish project goals.
  • Analytics and machine‑learning solution design, deployment, and performance monitoring—including models using time‑series forecasting, propensity modeling, clustering, similarity algorithms, and behavioral prediction techniques, delivered in an Agile environment.
Worksite

333 Clay Street, Suite 4490, Three Allen Center, Houston, TX 77002.

EEO Statement

Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.

Benefits and Compensation
  • Competitive compensation package
  • Performance‑based incentives
  • Comprehensive benefits program—health, dental, vision
  • 401(k) with company match
  • Paid time off
  • Professional development opportunities
Core Values

Integrity, Collaboration, Pursuit of Excellence, and Forward Thinking.

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