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Computer Science Peer Mentor Jobs in Frisco, TX (NOW HIRING)

Texas Instruments

Data Scientist

Dallas, TX · On-site

Mentor data scientists and engineers, elevating team capability through technical guidance, model ... Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related ...

Socket.dev

Architect, Data Science

Arlington, TX · On-site

$155 - $190/hr

S. in Computer Science, Engineering, Economics, or a related quantitative field. * 7+ years of ... Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners. * A ...

Learner Education

Online Science Tutor

Dallas, TX · Remote

$25/hr

... peer tutoring, grader roles, or lab assistant-only experience do not meet the experience ... Computer or laptop with microphone and camera. A stylus pen is highly recommended for clear ...

Learner Education

Online Science Tutor

Dallas, TX · Remote

$25/hr

... peer tutoring, grader roles, or lab assistant-only experience do not meet the experience ... Broader weekday and weekend availability is a plus Fast and reliable internet connection Computer ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

... mentoring to junior Data Scientists. Lead projects as needed or required - (10%) Minimum ... Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ...

L3HHCM20

Associate, Software Engineer

Richardson, TX · On-site

Apply computer science, engineering, and mathematical analysis concepts and principles in the ... Participate in peer reviews, identify, track and repair defects * Utilize a variety of software ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site

$150K - $210K/yr

... Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt ... Nice to Have: - Master's in Computer Science, Computational Linguistics, Statistics, Machine ...

Blue X Virtual

Learning Mentor

Lewisville, TX · On-site

$30K - $40K/yr

Ability to communicate with all levels of students, their parents, the community, peers, campus ... Computer literacy Responsibilities and Duties * Motivate students in all course study * Develop an ...

Virtusa

Gen AI developer

Irving, TX · On-site

$116K - $157K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field 7-10+ years of ... mentor teamsStrong analytical, problem-solving, and decision-making skills Ability to work ...

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All JobsComputer Science Peer Mentor JobsComputer Science Peer Mentor Jobs in Frisco, TX

Computer Science Peer Mentor information

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$11

$18

$24

How much do computer science peer mentor jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for computer science peer mentor in Frisco, TX is $18.08, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $19.81 per hour, depending on experience, location, and employer.

What is a computer science peer mentor?

Computer Science Peer Mentors are experienced students who provide guidance, support, and resources to fellow computer science students. They help peers with academic questions, study strategies, and navigating the challenges of computer science coursework. Peer mentors often lead study sessions, offer advice on time management, and connect students to useful campus resources. Their goal is to foster a supportive learning environment and help students succeed in their computer science studies.

What skills and qualifications are needed to thrive as a computer science peer mentor?

To thrive as a Computer Science Peer Mentor, a strong grasp of core computer science concepts, programming languages, and coursework—often demonstrated by successful completion of relevant classes—is essential. Familiarity with learning management systems, code collaboration platforms (like GitHub), and experience with tutoring tools or educational software is typically required. Excellent communication, patience, and active listening skills help a mentor effectively support and motivate fellow students. These skills ensure mentors can clearly explain complex topics, foster a supportive learning environment, and guide mentees toward academic success.

What challenges do computer science peer mentors face when supporting fellow students, and how are these typically addressed?

Computer Science Peer Mentors often encounter challenges such as explaining complex technical topics in an accessible way, managing time between mentoring and their own coursework, and addressing diverse learning styles among mentees. To address these, mentors receive training in communication and teaching strategies, collaborate closely with faculty, and participate in regular team meetings to share best practices. Additionally, most programs encourage mentors to set clear boundaries and use structured schedules to balance their responsibilities effectively.

What is the difference between Computer Science Peer Mentor vs Computer Science Tutor?

AspectComputer Science Peer MentorComputer Science Tutor
Required CredentialsTypically current students with strong CS knowledgeOften certified or experienced in specific CS topics
Work EnvironmentPeer-led sessions, informal settings, campus programsFormal tutoring sessions, academic centers, online platforms
Employer & Industry UsageUniversity programs, student organizationsAcademic institutions, tutoring companies
Common Search & Comparison IntentUnderstanding peer support roles in CSFinding professional help for CS coursework

Computer Science Peer Mentors are usually current students providing informal guidance within campus programs, focusing on peer support. In contrast, Computer Science Tutors often have formal credentials and offer structured tutoring sessions. Both roles aim to assist students but differ in their approach, credentials, and settings.

Do computer science peer mentors get paid?

Computer science peer mentors are often volunteer positions, but some institutions offer stipends or hourly pay for these roles. Payment depends on the program or organization, and some may provide academic credit or other benefits instead of monetary compensation.

What are popular job titles related to Computer Science Peer Mentor jobs in Frisco, TX?

For Computer Science Peer Mentor jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Computer Science Peer Mentor jobs in Frisco, TX look for?

The top searched job categories for Computer Science Peer Mentor jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Computer Science Peer Mentor jobs?

Cities near Frisco, TX with the most Computer Science Peer Mentor job openings:

Computer Science Peer Mentor jobs near you
Infographic showing various Computer Science Peer Mentor job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $37,607 per year, or $18.1 per hour.

Data Scientist

Texas Instruments

Dallas, TX • On-site

Full-time

Posted 28 days ago

Texas Instruments rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

52nd of 161 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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