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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 ...

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 ...

Mindlance

Data Scientist

Houston, TX · On-site

... data science approach by developing novel and/or adapting existing computational methods • Strong skills in communicating and presenting data-derived insights to non-technical audiences ...

Guidehouse

Data Scientist

Houston, TX

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Top Secret (TS) What You Will Do: Guidehouse is seeking a Data Scientist to join our AI & Data Defense and Security ...

Guidehouse

Data Scientist

Houston, TX · On-site

Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Top Secret (TS) What You Will Do: Guidehouse is seeking a Data Scientist to join our AI & Data Defense and Security ...

Hewlett Packard Enterprise

Data Scientist

Spring, TX · On-site

Basic knowledge of data science methodologies. * Basic understanding of business requirements and data science objectives. * Basic data mapping, data transfer and data migration skills. Basic ...

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 ...

Amgen

Sr. Data Scientist - Process Modeling

Houston, TX · On-site

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 ...

Innotech

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

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Data Science information

See Spring, TX salary details

$34.3K

$112.4K

$179.9K

How much do data science jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data science in Spring, TX is $112,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $124,500.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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.

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 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 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 work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

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.
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 July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,380 per year, or $54 per hour.
Data Scientist

Data Scientist

Crane Worldwide Logistics

Houston, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 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

133rd of 355 rated logistics

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 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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