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Fulltime Data Science Jobs in Houston, TX (NOW HIRING)

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

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 ...

Represents the data science team for all phases of larger and more-complex development projects ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

Permanent Full Time Job Mode: 100% Onsite Benefits- DENTAL INSURANCE/ MEDICAL INSURANCE/ VISION ... Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related ...

Responsibilities Leads organization-wide team or teams of other data science professionals in ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Houston, TX - 4 days/week onsite Duration: Full time / Direct Hire The Principal Data Engineer within the Data Science and Analytics team, plays a crucial role in architecting, implementing, and ...

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Showing results 1-20

Fulltime Data Science information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

How much do fulltime data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for fulltime 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 the difference between Fulltime Data Science vs Part-time Data Science?

AspectFulltime Data SciencePart-time Data Science
Work HoursTypically 35-40 hours/weekLess than 20 hours/week
Employment TypePermanent, full benefitsTemporary or flexible arrangement
CredentialsOften requires a degree in Data Science, Statistics, or related fieldsSame credentials as fulltime, but may vary based on project needs
Work EnvironmentOffice or remote, integrated with teamFlexible, often remote or freelance

Fulltime Data Science roles involve consistent, long-term employment with comprehensive benefits, requiring full credentials and offering a stable work environment. Part-time Data Science positions provide flexibility and shorter commitments, suitable for project-based work or supplementary income, with similar credential requirements but fewer benefits.

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

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

Director Data Science and Optimization

Crane Worldwide Logistics

Houston, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 10 days 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 362 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, 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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