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Data Science Jobs in Spring, TX (NOW HIRING)

Crane Worldwide Logistics

Data Scientist

Houston, TX · On-site

Create and maintain production-ready pipelines for data science models * Partner with the Business Intelligence and Data Engineering teams to improve data quality, define key metrics, and develop ...

Deloitte

AI and Data Science Engineer III

Houston, TX · On-site

$109K - $131K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior ...

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 ...

Deloitte

AI and Data Science Engineer III

Houston, TX · On-site +1

$109K - $131K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We ...

VC5 Consulting

Software Engineer - Data Science

Houston, TX · On-site

$109K - $131K/yr

In this role, you will support transformative GenAI tools while collaborating closely with commercial teams and data scientists. You will be responsible for designing models and implementing ...

Munich Re

Data Scientist, AI

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 ...

Parkhill

Senior Data Scientist

Houston, TX

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.

Parkhill

Senior Data Scientist

Houston, TX · On-site +1

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.

Parkhill

Senior Data Scientist

Houston, TX

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging trends in AI, machine learning, and data science applicable to the AEC and consulting sectors.

AgileEngine

Data Scientist ID71658

Houston, TX · On-site

The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models. WHAT YOU WILL DO - Develop predictive models and ...

AgileEngine

Data Scientist ID71658

Houston, TX · On-site +1

The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models. WHAT YOU WILL DO - Develop predictive models and ...

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All JobsData Science JobsData Science Jobs in Spring, TX

Data Science information

See Spring, TX salary details

$33.4K

$109.2K

$174.9K

How much do data science jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data science in Spring, TX is $109,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,000.00 per year, depending on experience, location, and employer.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Spring, TX? The most popular types of Data Science jobs in Spring, TX are:
What are popular job titles related to Data Science jobs in Spring, TX? For Data Science jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Spring, TX look for? The top searched job categories for Data Science jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Science jobs? Cities near Spring, TX with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Spring, TX as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $109,224 per year, or $52.5 per hour.
Data Scientist

Data Scientist

Crane Worldwide Logistics

Houston, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 22 days ago

Crane Worldwide Logistics rating

7.8

Company rating: 7.8 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Essential Job Functions
  • Collaborate with internal partners to identify high-impact opportunities for predictive and prescriptive analytics
  • Develop, test, and deploy machine learning models to support decision[1]making and optimize business processes
  • Design and conduct experiments (e.g. A/B testing) to validate hypotheses and measure outcomes
  • Present complex findings in a clear, actionable way through visualizations, dashboards, interactive applications, or technical reports
  • Create and maintain production-ready pipelines for data science models
  • Partner with the Business Intelligence and Data Engineering teams to improve data quality, define key metrics, and develop reusable data assets
  • Mentor analysts and other self-service data consumers in advanced statistical and machine learning techniques
  • Detect anomalies, forecast key business trends, and provide proactive recommendations

Other Skills & Abilities
  • Strong programming skills in Python or R; familiarity with Julia or similar languages is a plus
  • Prior experience making or publishing analytical web apps (e.g. Shiny, Streamlit)
  • Proficiency with machine learning libraries and frameworks (scikit-learn, TensorFlow, PyTorch)
  • Advanced knowledge of statistics, experimental design, and predictive modeling
  • Skilled in SQL and comfortable working with large datasets
  • Familiarity with deploying and maintaining models in production
  • Comfortable with BI tools and integrating data science outputs into business processes

Education & Experience
  • Bachelor's degree in computer science, statistics, applied math, data science, or a related field
  • 3-7 years of experience in data science, advanced analytics, or a related role
  • Demonstrated experience delivering end-to-end machine learning, optimization, or forecasting solutions

Physical Requirements
  • Talking, hearing and using hands to operate a computer keyboard, mouse and other computer components
  • Sitting for extended periods of time
  • Vision abilities required by this job include close vision and the ability to adjust focus

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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