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Data Science Jobs in Spring, TX (NOW HIRING)

AI Data Scientist

Spring, TX ยท On-site

$130K - $205K/yr

PhD related to AI or a Master's degree in computer science or a related field and 5+ years of experience with GenAI and related technologies including machine learning. data analytics, and ...

AI Data Scientist

Spring, TX ยท On-site

$130K - $205K/yr

Represents the data science team for all phases of larger and more-complex development projects. Provides guidance, training and mentoring to less experienced staff members. Education & Experience ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking an Epidemiologist Data Scientist to support epidemiologic ...

Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization ...

Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization ...

Leverage strong data science skills throughout the data analysis process (problem formulation, data aggregation, transformation and cleaning, descriptive analysis, modeling, visualization ...

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces Work closely with client data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...

Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master's Degree in Data Science preferred. Licenses/Certifications: (None ...

The ideal candidate combines strong analytical skills with deep technical expertise in cloud-based data science tools, particularly within the Databricks and Amazon Web Services (AWS) ecosystem. This ...

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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.

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:

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.

$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 11 days ago


Job description

AI Data Scientist
Description -
About the Position
The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge. We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company.
As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you'll collaborate with business stakeholders and across various units to develop and deploy solutions at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role.
Responsibilities
โ€ข Delivers Generative AI-based models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.
โ€ข Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
โ€ข Strategizes models to uncover patterns and predictions creating business value and innovation.
โ€ข Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
โ€ข Ties insights into effective visualizations communicating business value and innovation potential.
โ€ข Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
โ€ข Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
โ€ข Represents the data science team for all phases of larger and more-complex development projects.
โ€ข Provides guidance, training and mentoring to less experienced staff members.
Education & Experience Recommended
  • PhD related to AI or a Master's degree in computer science or a related field and 5+ years of experience with GenAI and related technologies including machine learning. data analytics, and statistical modeling.

Preferred Certifications
โ€ข Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
  • Strong foundation in data science and core machine learning concepts.
  • Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines.
  • Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus.
  • Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker.
  • Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups.
  • Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required.
  • Able to explain technical concepts (e.g., LLMs) to non-technical audiences.
  • You suggest pragmatic solutions that are as simple as possible-even if that means no AI is required.

The base pay range for this role is $130,700 to $205,200 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"