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Data Science Jobs in Spring, TX (NOW HIRING)

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 ...

Weatherford

Data Scientist - Wireline

Houston, TX

The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment. Roles & Responsibilities * Design and ...

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 ...

Waste Connections

Data Scientist

The Woodlands, TX · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field * 3+ years of experience in Data Science, Machine Learning ...

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 ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX · On-site

$130K - $205K/yr

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

Innotech

Data Scientist

Houston, TX

$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

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies. Key Responsibilities AI/ML Model Development * Design, train, fine-tune ...

Socket.dev

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment. Roles & Responsibilities * Design and ...

NAVA Software Solutions

Lead Data Scientist

Houston, TX · On-site

Keep abreast of the latest data science techniques and technologies. Explore and implement innovative solutions to improve data analysis, modeling capabilities, and business outcomes. * Communicate ...

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Showing results 21-40

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 Aug 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 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 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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,224 per year, or $52.5 per hour.

Data Scientist

SwiftCruit

Spring, TX • On-site

$71.50 - $164.40/hr

Other

Posted 17 days ago

Job description

Data Scientist

This role has been designed as "Onsite" with an expectation that you will primarily work from an HPE office.

Job Family Definition

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities
  • Participates in the analysis and validation of data sets/solutions/user experience.
  • Aids in the development, enhancement and maintenance of a client’s metadata based on analytic objectives.
  • May load data into the infrastructure and contributes to the creation of the hypothesis matrix.
  • Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
  • Contributes to building models for the overall solution, validates results and performance.
  • Contributes to the selection of the model that supports the overall solution.
  • 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 analytics model.
Education and Experience Required

Bachelor’s degree in Statistics, Operations Research, Computer Science or equivalent.

Knowledge and Skills
  • 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 understanding of analytics software (e.g. R, SAS, SPSS, Python).
  • Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (e.g. Informatica, Ab Initio, Talend).
  • Basic communication and presentation skills.
  • Basic data knowledge of relevant data programming languages.
  • Basic knowledge of data visualization techniques.
What We Can Offer You
  • Health & Wellbeing – we strive to provide a comprehensive suite of benefits that support physical, financial, and emotional wellbeing.
  • Personal & Professional Development – we invest in your career with programs to help you reach your career goals.
  • Unconditional Inclusion – we are inclusive and celebrate individual uniqueness.
Salary

Annual Salary USD 71,500 - 164,400 in Texas. The listed salary range reflects base salary. Variable incentives may also be offered.

Equal Employment Opportunity

HPE is an Equal Employment Opportunity/Veteran/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are based on qualifications, merit, and business need. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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