ZipRecruiter

Log In

1

Manager Data Scientist Jobs in Texas (NOW HIRING)

Applied Materials

Manager, Data Scientist

Austin, TX · On-site

$176K - $242K/yr

... memory management, tool integration, Retrieval-Augmented Generation (RAG), knowledge graphs ... Collaborate with business stakeholders, product teams, engineers, data scientists, and subject ...

Amat

Manager, Data Scientist

Austin, TX · On-site +1

$176K - $242K/yr

... memory management, tool integration, Retrieval-Augmented Generation (RAG), knowledge graphs ... Collaborate with business stakeholders, product teams, engineers, data scientists, and subject ...

Hanchey

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting engagements focusing on casualty and absence management data mining and predictive modeling projects.

JCPenney

Data Scientist

Dallas, TX · On-site

$81 - $135/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The Manager, Data Science - Planning & Allocation is responsible for developing and operationalizing ...

Real Soft, Inc.

Data Scientist

San Antonio, TX · On-site

Citizenship required . * 9+ years of relevant experience in data science, data engineering ... Experience defining and managing data schemas and normalization standards * Strong attention to ...

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

As a Data Scientist, you will apply strong expertise through the use of machine learning, data ... Implement CI/CD pipelines and manage code repositories using GitHub Enterprise. * Design and ...

State Farm

Data Scientist

Richardson, TX · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... data science, quantitative marketing, operations research, industrial engineering, etc.

Munich Re

Data Scientist

Houston, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Munich Re

Data Scientist

Arlington, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

KPMG

Data Scientist- Manager

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization * Collaborate closely with product managers, audit ...

Texas Instruments

Data Scientist

Dallas, TX · On-site

About You You are an experienced data scientist energized by ambiguous, high-stakes problems. You ... Experience with CMMS (Computerized Maintenance Management Systems), Supervisory Control and Data ...

Techvilla Solutions

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

Techvilla Solutions

Data Scientist

Desoto, TX · On-site

Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities ... Mentor data scientists and promote best practices in analytics and machine learning. * Support ...

next page

Showing results 1-20

All JobsData Scientist JobsManager Data Scientist JobsManager Data Scientist Jobs in Texas

Manager Data Scientist information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do manager data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for manager data scientist in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

What are the most commonly searched types of Data Scientist jobs in Texas?

The most popular types of Data Scientist jobs in Texas are:

What cities in Texas are hiring for Manager Data Scientist jobs?

Cities in Texas with the most Manager Data Scientist job openings:

Manager Data Scientist jobs near you
Infographic showing various Manager Data Scientist job openings in Texas as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Manager, Data Scientist

Applied Materials

Austin, TX • On-site

$176K - $242K/yr

Full-time

Re-posted 6 days ago

Applied Materials rating

8.7

Company rating: 8.7 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

15th of 540 rated manufacturers

Job description

Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer
Salary:
$176,000.00 - $242,000.00
Location:
Austin,TX
You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.
  • Key Responsibilities
    Lead the architecture, design, and implementation of Agentic AI solutions and Multi-Agent Systems that solve complex business and manufacturing challenges through autonomous reasoning, planning, orchestration, and execution.
    Drive the development of AI agents using modern frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents, Azure AI Foundry) to enable decision intelligence, workflow automation, knowledge retrieval, and operational optimization.
    Serve as a hands-on technical leader responsible for building scalable AI platforms, including agent orchestration, memory management, tool integration, Retrieval-Augmented Generation (RAG), knowledge graphs, ontologies, and enterprise AI architectures.
    Lead the development of advanced AI capabilities, including reasoning agents, planning agents, orchestration agents, code-generation agents, analytics agents, and domain-specific copilots that improve business outcomes and operational efficiency.
    Collaborate with business stakeholders, product teams, engineers, data scientists, and subject matter experts to identify high-value AI use cases and translate them into production-grade AI solutions.
    Establish AI engineering best practices covering LLMOps, AI governance, evaluation frameworks, observability, security, safety, prompt engineering, context engineering, model optimization, and continuous improvement.
    Architect and develop enterprise AI platforms leveraging Azure AI, Databricks, Python, vector databases, graph databases, cloud-native technologies, and modern machine learning frameworks.
    Build and optimize agent memory architectures, semantic layers, knowledge repositories, and enterprise ontologies to improve reasoning quality, contextual awareness, and autonomous execution.
    Lead proof-of-concept development, rapid prototyping, and production deployments while ensuring scalability, reliability, maintainability, and measurable business value.
    Mentor and guide AI engineers and data scientists while remaining actively involved in coding, architecture reviews, solution design, model development, and technical problem solving.
    Stay current with emerging advances in Generative AI, Agentic AI, foundation models, reasoning systems, and autonomous agents, driving adoption of innovative technologies across the organization.
    Required Education Background
    Bachelors in one of the following Computer Science, Artificial Intelligence or Data Science
    Functional Knowledge
    • Recognized technical expert in Generative AI, Agentic AI, Multi-Agent Architectures, and Enterprise AI Platforms.
    • Deep expertise in Large Language Models (LLMs), RAG, vector databases, knowledge graphs, AI orchestration frameworks, machine learning, and cloud-native architectures.
    • Strong hands-on software engineering capabilities with Python and modern AI development frameworks.
    • Demonstrated ability to design scalable, production-ready AI systems across multiple technology domains.
    Business Expertise
    • Anticipates emerging AI technology trends and identifies opportunities to create competitive advantages through AI-driven automation and intelligence.
    • Partners with business leaders to define AI strategy, prioritize use cases, and deliver measurable business outcomes through autonomous and intelligent systems.
    • Understands manufacturing, supply chain, engineering, operational, and enterprise business processes and how Agentic AI can transform them.
    Leadership
    • Leads complex AI transformation initiatives from strategy through implementation and production deployment.
    • Drives cross-functional teams delivering enterprise-scale Agentic AI and automation solutions.
    • Influences technical direction, architecture standards, and AI governance across the organization.
    Problem Solving
    • Solves highly complex and ambiguous business and technical problems through innovative application of AI, machine learning, and autonomous agent technologies.
    • Develops novel approaches for reasoning, planning, orchestration, workflow automation, and knowledge-driven decision making.
    • Balances experimentation and innovation with production-grade engineering principles.
    Impact
    • Influences enterprise AI strategy, technology investments, architecture decisions, and adoption of next-generation AI capabilities.
    • Delivers scalable AI solutions that improve productivity, operational performance, decision quality, and business agility.
    • Shapes long-term AI platform roadmaps and standards for the organization.
    Interpersonal Skills
    • Communicates complex AI concepts and architectures effectively to executive leadership, technical teams, and business stakeholders.
    • Drives alignment across diverse organizations and builds consensus around AI strategy and solution approaches.
    • Effectively mentors teams and promotes adoption of AI best practices across the enterprise.
    Preferred Qualifications
    • 7+ years of software engineering, data science, machine learning, or AI experience.
    • 3+ years building production-grade AI/ML solutions using Python.
    • 3+ years developing Generative AI, Agentic AI, Multi-Agent Systems, RAG, Knowledge Graphs, or LLM applications.
    • Experience with Azure AI, Databricks, OpenAI, LangGraph, Semantic Kernel, CrewAI, AutoGen, vector databases, and cloud-native architectures.
    • Demonstrated track record delivering enterprise-scale AI products from concept through production.

Additional Information
Time Type:
Full time
Employee Type:
Assignee / Regular
Travel:
Yes, 20% of the Time
Relocation Eligible:
Yes
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

What Applied Materials employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Applied Materials logo

About Applied Materials

Sourced by ZipRecruiter

Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We're the brain (and the brawn) behind every new technology development--whether it's building semiconductor chips for smartphones and computers, or the underpinnings for robotics, AI and even smart TV display screens. With 27,000 employees in 19 countries, we offer an exciting place to grow and learn alongside some of the best people you'll ever meet. We take deep pride in our Culture of Inclusion, and we celebrate the diverse backgrounds, perspectives and experiences that help us build stronger, more resilient teams. Join us as we innovate to Make Possible a Better Future!

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1967

View All Applied Materials Jobs

Apply