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Data Science Jobs in Houston, TX (NOW HIRING)

Munich Re

Data Scientist

Houston, TX · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Stryker

Data Science Intern - Remote

The Woodlands, TX · On-site

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Act as a local champion for data science and AI, helping users adopt tools and articulate their changes and requirements to the wider team. The individual will work both with our data scientists and ...

SwiftCruit

Data Scientist

Spring, TX · On-site

$71.50 - $164.40/hr

Supports the research, identification and delivery of data science solutions to problems ... Supports visualization of the model's insights, user experience and configuration tools for the ...

Stryker

Data Science Intern - Remote

Houston, TX · On-site

$35/hr

The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division.

New

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Act as a local champion for data science and AI, helping users adopt tools and articulate their changes and requirements to the wider team. The individual will work both with our data scientists and ...

Tyndale

Project Manager, AI and Data Science

Houston, TX · On-site

$130K - $150K/yr

Overview Tyndale is scaling its AI and Data Science capabilities to improve safety, customer experience, and operational efficiency across our Flame-Resistant clothing business. We are hiring a ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Act as a local champion for data science and AI, helping users adopt tools and articulate their changes and requirements to the wider team. The individual will work both with our data scientists and ...

Tyndale

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

Overview Tyndale is scaling its AI and Data Science capabilities to improve safety, customer experience, and operational efficiency across our Flame-Resistant clothing business. We are hiring a ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders. The ideal ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Houston, TX

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.
More about Data Science jobs

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 job categories do people searching Data Science jobs in Houston, TX look for?

The top searched job categories for 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:

Data Science jobs near you
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.

Director Data Science and Optimization

Crane Worldwide Logistics

Houston, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 hours ago

Crane Worldwide Logistics rating

7.5

Company rating: 7.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

136th of 366 rated logistics

Job description

General Description
At Crane you'll join a fast-growing data organization at a global company operating at the intersection of logistics, optimization, and algorithmic decision-making. We're a 3rd-party logistics provider generating massive volumes of data across every category and latency, and need an experienced leader to drive our investment in building the quantitative foundations to manage our core business algorithmically. You will lead a team of data scientists, owning both the people and the technical direction of data science & optimization at Crane. You'll manage a team of data scientists, set technical standards, and partner closely with business stakeholders to make sure our optimization and forecasting projects are solving the right problems the right way. Your team's work will span pricing, finance, and marketing and growth, with a heavy focus on Operations Research-style optimization. This team is focused on higher level business goals and more consistent business impact than simple truck routing or churn prediction problems. This is a hybrid position in our Houston, TX location.
Essential Job Functions
  • Team leadership and stakeholder partnership

    • You'll work directly with business stakeholders to understand problems, shape measurement and experimental design approaches, and align data science projects with business goals.
    • You'll collaborate with other technical functions (Data Engineering, BI Engineering, etc.).
    • You'll ensure that the team follows a well-structured planning process, keeping priorities transparent and execution focused.

  • Technical oversight

    • You'll set the standard for how the team works: code reviews, version control discipline, automation, and pragmatic choices about tooling and approaches.
    • You'll bring common sense to the technical project lifecycle and modeling choices, always favoring simplicity and reliability.
    • You'll guide the team across optimization, experimentation, statistical analysis, forecasting, and ML projects and drive the appropriate level of rigor & care.

  • Strategy

    • You'll partner with engineering and business leadership to shape our vision for an algorithmic logistics business.
    • You'll connect technical direction (modeling approaches, architecture, and technology selection) to our strategy over multi-year planning horizons.

Education & Experience
  • Bachelor's degree in industrial engineering, Mathematics, Operations Research, or similar required.
  • 12+ years' experience, including 5+ years managing and growing data science teams.
  • Track record of leading teams that successfully deliver mathematical optimization/operations research/industrial engineering programs at scale.
  • 3+ years of experience managing data science teams, including experience managing managers or building a function from the ground up.
  • Experience owning practical business forecasting programs, with strong statistical fundamentals.
  • Proficiency with Python, Julia, R or similar programming languages; comfortable with software engineering fundamentals.
  • 3+ years of experience leading successful global rollouts.
  • Deep knowledge of mathematical optimization, operations research, forecasting, experimentation, and machine learning methods.
  • Experience deploying and managing solutions as applications and endpoints.
  • Applicants must be legally authorized to work in the United States on a full-time, ongoing basis without the need for current or future employer sponsorship.

Preferred
  • Experience solving problems in logistics.
  • Advanced degree in a quantitative field.
  • Comfortable with software engineering fundamentals.
  • Experience deploying managing solutions as applications and endpoints.
  • Experience presenting to and influencing executive audiences.

Physical Requirements
  • Talking, hearing and using hands to operate computer equipment.
  • Vision abilities required by this job include close vision and the ability to adjust focus.
  • Job may require extended sitting or standing, use of standard office equipment.
  • Job will require punctual attendance and regular presence on-site at the assigned work location.

WHY SHOULD YOU WORK FOR CRANE?
At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work!
We offer:
  • Quarterly Incentive Plan
  • 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
  • Excellent Medical, Dental and Vision benefits
  • Tuition Reimbursement for education related to your job
  • Employee Referral Bonuses
  • Employee Recognition and Rewards Program
  • Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
  • Employee Discounts
  • Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates

Come join the leader in logistics and take your career in the right direction.
Disclaimer:
The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
We maintain a drug-free workplace and perform pre-employment substance abuse testing.
This position requires the final candidate to successfully pass an E-Verify Check.
More Information: http://www.dhs.gov/e-verify
Company benefits are contingent upon meeting eligibility requirements and plan conditions.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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