ZipRecruiter

Log In

1

Computer Science Peer Mentor Jobs in Denver, CO (NOW HIRING)

PDW

Junior Software Engineer

Denver, CO · On-site

... peers to implement features and bug fixes. Responsibilities : • Write clean, maintainable code ... Science, Computer Engineering, or related field, with 0-3 years of professional software ...

Deloitte

Lead AI and Data Science Engineer II

Denver, CO

$105K - $139K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

Spartan Education

FLIGHT SCHOOL MENTOR

Broomfield, CO · On-site

$15/hr

This position is responsible for providing peer-level guidance, encouragement, and accountability ... Ability to view computer screens for extended periods. Minimal exposure to environmental hazards.

Blue Origin

Flight Software Engineer III

Denver, CO · On-site

$150K - $211K/yr

Mentor and peer-coach junior engineers, helping grow the next generation of flight software talent Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, Electrical ...

previous page

Showing results 41-60

All JobsComputer Science Peer Mentor JobsComputer Science Peer Mentor Jobs in Denver, CO

Computer Science Peer Mentor information

See Denver, CO salary details

$12

$19

$27

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

As of Aug 7, 2026, the average hourly pay for computer science peer mentor in Denver, CO is $19.88, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.78 per hour, depending on experience, location, and employer.

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 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 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 programs offer stipends or hourly pay depending on the institution. Paid roles typically require mentoring skills, technical knowledge, and sometimes training or certifications. Compensation varies by program and organization.

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 are popular job titles related to Computer Science Peer Mentor jobs in Denver, CO? For Computer Science Peer Mentor jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Computer Science Peer Mentor jobs in Denver, CO look for? The top searched job categories for Computer Science Peer Mentor jobs in Denver, CO are:
What cities near Denver, CO are hiring for Computer Science Peer Mentor jobs? Cities near Denver, CO 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 Denver, CO as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,358 per year, or $19.9 per hour.

Senior Data Scientist - Risk & Compliance Domain

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Re-posted 27 days ago

Job description

Overview:
Job Title: Senior Data Scientist - Risk & Compliance Domain (Job ID: 2098)
Location: Remote (but need someone local to - Denver, CO 80237)
Duration: July 15, 2025 - February 27, 2026
Hire Type: Contractor (Contract Only)
Role Responsibilities:
Project Management: Leading and managing end to end data science projects, defining objectives, define requirements, and ensuring timely delivery.
Model Development & Implementation: Developing and validating machine learning and statistical models, implementing predictive models, and optimizing existing ones.
Data Analysis & Insights: Analyzing large datasets, identifying trends and patterns, and extracting actionable insights to inform business decisions.
Collaboration & Communication: Working with cross-functional teams and stakeholders, including engineering, product, and business stakeholders, to translate complex data into actionable strategies.
Mentorship & Guidance: Providing guidance and mentorship to junior data scientists, sharing expertise, and fostering their professional growth.
Staying Updated: Keeping abreast of the latest advancements in data science and AI, exploring new tools and techniques, and identifying opportunities for innovation.
Strategic Input: Contributing to the development of data-driven strategies and providing input on technical approaches for projects.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services leading in detecting and preventing digital fraud, scams and social engineering.
Able to quickly understand our current Risk Models with the goal of building a flexible AI solution that partners with our current risk tools to maintains our high standards for Risk Prevention and Compliance while providing flexibility to effectively run our business.
Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
Experience navigating difficult scenarios developing and implementing execution ideas with minimal guidance.
Proficiency in programming languages like Python or R.
Ability to create clear and concise visualizations to communicate complex data.
Ability to create clear and standard data models to communicate with the stakeholders and to capture the semantics of the data and the complex semi-structured content.
Strong analytical and problem-solving skills, with the ability to tackle complex business challenges.
Excellent communication and presentation skills to effectively convey findings to both technical and non-technical audiences.
Experience and willingness to lead and mentor a team, providing guidance and support to junior members
Skills:
Risk & Compliance

Apply