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Data Science Jobs in Spring, TX (NOW HIRING)

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 ...

Augment

Principal Scientists, Data

Houston, TX

You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies.Key ResponsibilitiesAI/ML Model DevelopmentDesign, train, fine-tune, 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 ...

Hp

AI Data Scientist

Spring, TX · 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 ...

HP Inc

AI Data Scientist

Houston, TX

$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 ...

NOV, Inc.

Senior Data Scientist

Houston, TX

Lead data science initiatives that impact operations globally across multiple business units * Define project scope, timelines and deliverables in collaboration with business leaders * Architect ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

Lead data science initiatives that impact operations globally across multiple business units * Define project scope, timelines and deliverables in collaboration with business leaders * Architect ...

W3Global

Senior Data Scientist

Houston, TX · On-site

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 ...

campus4tech

Lead Data Scientist

Houston, TX · On-site

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 ...

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All JobsData Science JobsData Science Jobs in Spring, TX

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 12, 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.
Principal Scientist, Data

Principal Scientist, Data

Augment

Houston, TX

$80 - $83/hr

Other

Re-posted 6 days ago

Job description

Job Title: Data Scientist – AI/ML Focus
Worksite: Onsite Monday–Thursday (Mandatory) – Houston, TX

Must-Have Technologies: Snowflake, SQL, Palantir (or similar data decision/operational AI platform)

Position Summary

We are seeking a highly curious, proactive, and innovative Data Scientist with deep experience in AI/ML, NLP, and Large Language Models (LLMs). The ideal candidate will excel at blending complex datasets, building predictive and statistical models, and delivering AI-driven solutions that create measurable business impact.

This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy, and optimize AI applications within a real-world operational environment. 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, and evaluate machine learning and deep learning models—including LLMs—for predictive analytics and automated decision-making.

Data Engineering & Feature Development

  • Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency.

NLP & Agent-Based AI Applications

  • Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures.

Business Decision Support

  • Convert statistical and ML findings into practical insights and recommendations that support strategic decisions.

End-to-End Deployment (MLOps)

  • Implement, deploy, and monitor ML models using best practices for reliability, scalability, and performance.

Data Storytelling & Communication

  • Create dashboards, visualizations, and presentations that clearly communicate insights to non-technical stakeholders.

Required Skills & Experience

Technical Expertise

  • Hands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Advanced SQL skills and experience integrating data from multiple sources.
  • Experience with Snowflake, AWS (SageMaker, S3, Redshift), and automated ML pipelines.
  • Strong understanding of version control (Git) and collaborative development.

Soft Skills

  • Highly curious, innovative, and growth-oriented mindset.
  • Ability to drive projects independently from ideation to deployment.
  • Strong business acumen with the ability to align technical output to business needs.
  • Excellent communication skills with the ability to simplify technical concepts.

Preferred Qualifications

  • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
  • Experience using BI or model-monitoring tools (Power BI, Dash, Streamlit).
  • Familiarity with reinforcement learning or agent-based AI systems.

Why This Role?

This opportunity is ideal for a Data Scientist who wants to work at the forefront of AI innovation—building advanced LLM-based solutions, deploying operational ML models, and driving real business impact within a forward-thinking organization.

Job Type: Full-time

Work Location: In person

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