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Director Computer Science Jobs in The Colony, TX

Pwc

Data Validation Risk - Director

Dallas, TX · On-site

$155K - $410K/yr

... Computer Science, Computer and Information Science & Accounting, Management Information Systems preferred - Certified Public Accountant or Certified Information Systems Auditor preferred ...

Scotiabank

Director, Structured Credit

Dallas, TX · On-site

Scotiabank is a leading bank in the Americas, and they are seeking a Director for Structured Credit ... Computer Science, Information Systems, or related field. Preferred : • CFA or FRM preferred.

Forhyre

AI Cloud Solutions Director

Dallas, TX

AI Cloud Solutions Director Company Overview: Forhyre is a leading technology solutions provider ... Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is ...

Forhyre

AI Cloud Solutions Director

Plano, TX

AI Cloud Solutions Director Company Overview: Forhyre is a leading technology solutions provider ... Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

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All JobsComputer Science JobsDirector Computer Science JobsDirector Computer Science Jobs in The Colony, TX

Director Computer Science information

What does a director of computer science do?

A Director of Computer Science typically oversees the development, implementation, and management of computer science programs within an organization or academic institution. Their responsibilities may include setting strategic goals, managing faculty or technical teams, developing curriculum or technical standards, and ensuring that projects or programs align with organizational objectives. They also play a key role in budgeting, resource allocation, and fostering research or innovation in computer science. This leadership position requires strong technical expertise as well as management and communication skills.

What are the key skills and qualifications needed to thrive as a director of computer science?

To thrive as a Director of Computer Science, you need advanced knowledge in computer science, strong leadership experience, and typically a master's or doctoral degree in a related field. Familiarity with software development tools, project management platforms, and knowledge of current industry standards or certifications (such as PMP or Agile) are often required. Excellent communication, strategic thinking, and team-building skills distinguish top performers in this leadership role. These competencies are crucial for guiding technical teams, aligning projects with organizational goals, and driving innovation within the department.

What are some common challenges faced by a director of computer science when leading multidisciplinary teams?

A Director of Computer Science often leads teams that include software engineers, data scientists, and IT professionals, each with their own expertise and perspectives. One common challenge is fostering effective communication and collaboration among these diverse team members while aligning everyone to shared project goals. Additionally, keeping up with rapid technological advancements and ensuring that the team’s skills remain current can be demanding. Balancing administrative tasks with hands-on technical leadership is also a frequent challenge in this role.

What is the difference between Director Computer Science vs Software Engineering Manager?

AspectDirector Computer ScienceSoftware Engineering Manager
Required CredentialsBachelor's/Master's in Computer Science or related field; often advanced certificationsBachelor's/Master's in Computer Science or related field; relevant certifications
Work EnvironmentStrategic leadership, overseeing multiple teams or departmentsTeam management, project delivery, technical oversight
Employer & Industry UsageTech companies, academia, research institutionsTech firms, software development companies
Common Search & Comparison IntentUnderstanding leadership roles in computer scienceManaging software teams and projects

The Director Computer Science typically focuses on strategic leadership, overseeing multiple teams or departments, and shaping technical direction. In contrast, a Software Engineering Manager is more involved in managing software development teams, project execution, and technical mentoring. Both roles require strong technical backgrounds, but the Director role emphasizes broader organizational impact and strategic planning.

What are high paying jobs in computer science?

High-paying jobs in computer science include roles such as software engineering managers, solutions architects, data scientists, and machine learning engineers, often requiring advanced skills in programming, data analysis, and cloud computing. These positions typically offer six-figure salaries and may require relevant certifications and experience in specialized technologies or leadership. Salary levels vary based on industry, location, and experience, but these roles are among the top earners in the field.

What are the most commonly searched types of Computer Science jobs in The Colony, TX?

The most popular types of Computer Science jobs in The Colony, TX are:

Director Computer Science jobs near you

Data Scientist

Texas Instruments Incorporated

Dallas, TX • On-site

Other

Posted 9 days ago

Texas Instruments rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

50th of 159 rated electronics manufacturers

Job description


About This Role
Smart Manufacturing and Automation (SMA) at Texas Instruments is looking for a Sr./Lead Data Scientist who can fundamentally change how facilities operations leverage data. This role sits at the intersection of deep time series expertise and enterprise-scale AI deployment . You will work directly with operational teams to extract signal from complex sensor, equipment, and process data, build production-grade anomaly detection and forecasting systems, and drive the adoption of Agentic AI solutions across a global organization spanning semiconductor manufacturing, facilities operations, and engineering.
This role is not about building models in isolation. It involves solving problems in complex operational environments, earning the trust of domain experts, and deploying intelligent systems that scale.
About You
You are an experienced data scientist energized by ambiguous, high-stakes problems. You can walk into a room with facilities engineers and operations specialists, ask the right questions, and leave with a clear picture of what needs to be modeled. You do not just build models - you understand the operational problem deeply enough to know when a simpler statistical approach beats a complex neural network.
You are self-directed. You find anomaly patterns others miss, propose forecasting solutions before anyone asks, and take ownership of outcomes from data exploration through production deployment. You stay current with emerging technologies - including agentic AI frameworks and large language model tooling - not because it is trendy, but because you know how to apply them where they genuinely move the needle in a manufacturing environment.
What You'll Do
Analyze and Model Time Series Data
  • Engage directly with operational and engineering stakeholders to understand, map, and extract value from complex time series data - translating domain expertise into reliable, production-grade models
  • Develop and deploy anomaly detection, predictive maintenance, and forecasting models against equipment sensor data, facility operations data, and manufacturing process signals
  • Design and implement end-to-end ML pipelines that reduce manual analysis effort and increase operational decision quality at scale

Build with Engineering Excellence
  • Build scalable, maintainable data science solutions with clean architecture, disciplined testing, and rigorous version control practices
  • Design and deploy Agentic AI solutions leveraging emerging frameworks such as Model Context Protocol (MCP) and agent-to-agent (A2A) protocols to create intelligent, composable data analysis workflows
  • Apply strong ML engineering fundamentals to ensure models are robust, extensible, and production-grade across distributed manufacturing environments

Lead and Elevate
  • Define and drive technical strategy for time series analytics and enterprise AI deployment - setting standards and identifying platform-level opportunities that compound impact over time
  • Lead enterprise-wide Agentic AI initiatives from proof of concept through scaled production deployment across TI's global manufacturing and facilities organization
  • Mentor data scientists and engineers, elevating team capability through technical guidance, model reviews, and knowledge sharing
  • Proactively identify and self-initiate improvements beyond assigned scope, bringing a continuous improvement mindset to every model and system you build

Qualifications
Minimum Requirements
  • Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field
  • 5+ years of experience as a Data Scientist working with time series and time studies data within the semiconductor, manufacturing, or facilities domain
  • Demonstrated experience deploying enterprise-scale Agentic AI solutions across a large organization
  • Deep proficiency in Python and SQL for data processing, feature engineering, and ML model development
  • Hands-on experience with time series methods including anomaly detection, forecasting, and signal processing (e.g., ARIMA, Prophet, LSTM, Isolation Forest, deep learning, or equivalent)
  • Experience with MLOps practices including model versioning, monitoring, and CI/CD for ML pipelines
  • Demonstrated ability to translate complex operational problems into production-grade analytical solutions
  • Familiarity with AI-assisted development tools as a productivity accelerator

Preferred Qualifications
  • Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field
  • Proven track record of leading efforts to deploy and scale enterprise-wide Agentic AI solutions in a manufacturing or industrial setting
  • Familiarity with semiconductor fab operations, facilities systems, equipment maintenance processes, or ESH data
  • Experience with CMMS (Computerized Maintenance Management Systems), Supervisory Control and Data Acquisition systems (SCADA), or semiconductor facilities equipment data
  • Hands-on experience with agentic frameworks, MCP, A2A, or LLM integration in production systems
  • Strong foundation in statistics and experimental design for validating model performance in operational environments
  • Excellent communication skills for presenting model insights and AI strategy to technical and non-technical stakeholders at all levels
  • Experience training, mentoring, leading others

About Us
Why TI?
  • Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
  • We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI
  • Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. Please find our country-specific benefits here

About Texas Instruments
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, disability, genetic information, national origin, gender, gender identity and expression, age, sexual orientation, marital status, veteran status, or any other characteristic protected by federal, state, or local laws.
If you are interested in this position, please apply to this requisition.
About the Team
TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

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About Texas Instruments

Sourced by ZipRecruiter

As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.

Industry

Semiconductor and electronic component manufacturing

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1930

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