1

Data Science Project Manager Jobs in Spring, TX (NOW HIRING)

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

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 ...

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 ...

Exhibits strong project management skills, with an ability to work independently on multiple ... Advanced knowledge of data science methods - time series forecasting, linear regression, A/B ...

... science projects. • Broad experience and knowledge in Statistics, Machine Learning and data ... Management - Knowledge - Software Construction - Knowledge - Software Engineering Economics ...

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

Demonstrated ability to lead and manage data science projects, including, managing workflow and priorities, to ensure timely delivery of projects with high-quality outcomes. * Proven track record of ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... Manage relationships and priorities across projects, focused on maximising value * Actively ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... Manage relationships and priorities across projects, focused on maximising value * Actively ...

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... Manage relationships and priorities across projects, focused on maximising value * Actively ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... Manage relationships and priorities across projects, focused on maximising value * Actively ...

next page

Showing results 1-20

Data Science Project Manager information

See Spring, TX salary details

$14

$51

$71

How much do data science project manager jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data science project manager in Spring, TX is $51.18, according to ZipRecruiter salary data. Most workers in this role earn between $44.28 and $59.90 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
What are popular job titles related to Data Science Project Manager jobs in Spring, TX? For Data Science Project Manager jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Spring, TX look for? The top searched job categories for Data Science Project Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Science Project Manager jobs? Cities near Spring, TX with the most Data Science Project Manager job openings:
Infographic showing various Data Science Project Manager job openings in Spring, TX as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $106,446 per year, or $51.2 per hour.
Project Manager, AI and Data Science

Project Manager, AI and Data Science

Tyndale

Houston, TX • Hybrid

$49.50 - $66.75/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 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

Employment Type: OTHER