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Data Science Jobs in Spring, TX (NOW HIRING)

Tyndale

Project Manager, AI and Data Science

Houston, TX · On-site

$130K - $150K/yr

Overview Tyndale is scaling its AI and Data Science capabilities to improve safety, customer experience, and operational efficiency across our Flame-Resistant clothing business. We are hiring a ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109.30K - $131.30K/yr

Act as a local champion for data science and AI, helping users adopt tools and articulate their changes and requirements to the wider team. The individual will work both with our data scientists 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 ...

Deloitte

AI and Data Science Engineer III

Houston, TX · On-site +1

$109.30K - $131.30K/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

$109.30K - $131.30K/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 ...

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.

Deloitte

Data Scientist

Houston, TX

Stay up to date with the latest trends and technologies in data science and machine learning. * Ability to work independently and collaborate as part of a team * Effective written and verbal ...

Brookfield

Senior Data Scientist

Houston, TX

$90.80K - $145K/yr

Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success. * Helps to define and communicate governance principles. * Generates ...

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.

Parkhill

Senior Data Scientist

Houston, TX · On-site

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.

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$33.4K

$109.2K

$174.9K

How much do data science jobs pay per year?

As of May 31, 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 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 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.

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 May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $109,224 per year, or $52.5 per hour.
Project Manager, AI and Data Science

Project Manager, AI and Data Science

Tyndale

Houston, TX • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Overview

Tyndale is scaling its AI and Data Science capabilities to improve safety, customer experience, and operational efficiency across our Flame-Resistant clothing business. We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI, Scribe, and similar tools.


You will manage end to end delivery for Data Science projects on AWS and for enterprise SaaS AI rollouts, driving both technical execution and business adoption. On the platform side, you will work across AWS services to support building Machine Learning and Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management, training, and measurement of adoption and business value.


HYBRID/REMOTE: Tyndale supports a strong work-life balance. This opportunity requires onsite work a minimum of 1 day per week, and 4 days per week remotely. To be considered, candidates must reside within a commutable distance from our corporate headquarters in Pipersville, PA (Bucks County) or our location in Houston, TX (City Centre).


About Tyndale

The Tyndale Company is a private, 9x Top Workplace winner in PA and 5x winner in TX, and an industry leading national supplier of arc-rated flame-resistant clothing (FRC) to the energy sector – including utilities, oil and gas, transportation, chemical manufacturing, and NFPA 70E markets. We’re a family-owned business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We’re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.


Responsibilities

  • Serve as Scrum Master for Data Science teams: facilitate sprint planning, daily standups, reviews, and retros; coach team members on Agile practices and remove impediments.
  • Manage a backlog for Data Science and AI platform work in Jira.
  • Coordinate with Data Scientists, Data Engineers, and ML Engineers building Machine Learning models and Generative AI products.
  • Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots, enterprise rollout plans, communications, training, and change management to drive adoption and safe use.
  • Own project scope, schedule, and budget tracking for assigned initiatives, including dependency management, change control, and stakeholder communication.
  • Maintain an active risk and issue log; drive mitigations and escalations that protect delivery commitments and compliance requirements.
  • Define and track success metrics such as sprint velocity, on time delivery, escaped defects, model reproducibility, data quality SLAs, SaaS AI adoption rates, and stakeholder satisfaction.
  • Support vendor management activities for SaaS AI and AWS partners, including SOWs, renewals, and contract performance.
  • Ensure high quality documentation for requirements, test plans, runbooks, model cards, governance artifacts, and change decisions.
  • Support training, UAT, and enablement to help business teams adopt AI driven workflows and tools.


Qualifications

  • Minimum of 5 years of professional project management experience in technology, analytics, or data driven environments.
  • Bachelor's Degree required.
  • PMP certification required.
  • Proven experience delivering Data Science or machine learning projects, including coordination of data ingestion, feature engineering, and model deployment.
  • Experience managing SaaS AI product implementations such as ChatGPT Enterprise, Slack AI, Scribe, Veo 3, or similar tools, with a clear focus on change management and user adoption.
  • Proficiency with Agile delivery tools (Jira / Confluence).
  • Excellent written and verbal communication skills, with a track record of concise, executive ready reporting.


Preferred qualifications

  • Scrum Master certification (CSM, PSM, or equivalent) strongly preferred.
  • Familiarity with statistics, analytics, and Data Science concepts.
  • Experience defining and maintaining KPI dashboards for AI and data initiatives.


Benefits

  • Health & Wellness: Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave. Mental health support through an EAP and partial reimbursement on copays, fertility support, and robust wellness programs with annual reimbursements.
  • Work-Life Balance: Many positions with Tyndale offer hybrid onsite + remote work schedules, generous PTO, paid holidays + a floating holiday, and more.
  • Financial Compensation: Competitive salary, 401(k) with matching, and bonus opportunities.
  • Career Growth & Development: Training/certification/tuition reimbursement programs and demonstrated paths for knowledge share and internal promotion opportunity.
  • Culture & Perks: Family-owned values, award winning culture, team-engagement events, casual dress code, company-sponsored charitable events and activities, and an inclusive workplace that values collaboration and integrity.


Qualified candidates are encouraged to apply on our website, www.tyndaleusa.com/careers.

E.O.E



#LI-SP1 #LI-Hybrid

Company Description

The Tyndale Company, a private, consecutive Top Workplace winner in PA and TX and industry leading national supplier of arc-rated flame resistant (FR) clothing to the utilities, oil and gas, transportation, chemical manufacturing, molten metals, and NFPA 70E markets. We’re a family-owned, and certified woman-owned (WBE) business providing a retail-style apparel experience to hundreds of thousands of energy workers across the US and Canada. We’re the leading distributor of innovative FRC solutions, and the largest industrial supplier of Carhartt FR, Ariat FR, and Wrangler FR clothing.