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Computer Science Peer Mentor Jobs in Paramount, CA

YO AI Labs

Data Scientist

Glendale, CA · On-site

Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a ... Demonstrated experience mentoring colleagues on best practices and technical concepts for building ...

CookUnity

Director, Data Science/ML

Los Angeles, CA

Build, mentor, and scale a high-performing product data science team capable of delivering both ... PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field

Oscar Health

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

... peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps * Provide guidance or informal mentorship to ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA

$9.8K - $13K/mo

Master's degree from an accredited institution in Data Science, Computer Science, Statistics ... Proven experience leading and mentoring data science teams. Certificates/Licenses/Clearances

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Master's degree from an accredited institution in Data Science, Computer Science, Statistics ... Proven experience leading and mentoring data science teams. Certificates/Licenses/Clearances

Epirus

Principal Software Engineer

Torrance, CA

$141K - $189K/yr

Provide mentorship and guidance to team members in the art of embedded software development Basic ... A firm grasp of Data Structures, Algorithms, Design Patterns, and other Computer Science ...

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

... peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps * Provide guidance or informal mentorship to ...

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All JobsComputer Science Peer Mentor JobsComputer Science Peer Mentor Jobs in Paramount, CA

Computer Science Peer Mentor information

See Paramount, CA salary details

$12

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$28

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

As of Jul 14, 2026, the average hourly pay for computer science peer mentor in Paramount, CA is $20.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $22.31 per hour, depending on experience, location, and employer.

What are some common challenges 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 are the key skills and qualifications needed to thrive as a Computer Science Peer Mentor, and why are they important?

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.

What are Computer Science Peer Mentors?

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 cities near Paramount, CA are hiring for Computer Science Peer Mentor jobs? Cities near Paramount, CA 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 Paramount, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,339 per year, or $20.4 per hour.

Data Scientist

YO AI Labs

Glendale, CA • On-site

Full-time

Posted 11 days ago

Job description

Must Have:

Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI, SQL

Technical Responsibilities:

  • Design and Execute Experiments: Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations.
  • Advanced Statistical & Causal Inference: Apply deep knowledge of experimental design, regression, classification, causal inference (difference-in-differences, propensity scores, instrumental variables), and ensure proper assumptions.
  • Build Scalable Solutions: Develop experimentation and causal inference tools and frameworks that can scale across Disney's businesses.
  • Deliver Strategic Insights: Partner with stakeholders to identify optimization opportunities and translate complex analytical findings into clear business recommendations.
  • Influence Executive Decisions: Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders.

Basic Qualifications:

  • Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field + 7 years of experience with an emphasis on experimentation or causal inference.
  • Strong background in statistical modeling: regression, classification, time series forecasting, causal inference, and other techniques.
  • Robust knowledge of causal inference approaches such as propensity scores, synthetic controls, difference-in-differences, doubly robust methods, meta learners, and uplift modeling.
  • Expertise in A/B test design, execution, statistical modeling, and sophisticated causal inference techniques.
  • Proficient in conducting sample size calculations, power analysis, and minimum detectable effect estimation.
  • Experience managing multiple testing scenarios and controlling false discovery rates.
  • Ability to deploy both Bayesian and frequentist statistical approaches.
  • Deep understanding of assumptions required for causal inferences, including the foundational statistical concepts that underpin the approaches.
  • Proven ability to manage end-to-end experimentation and causal inference analyses, from initial requirements to impactful outcomes
  • Advanced skills in Python and/or R-including development of statistical analysis packages, and use of ML frameworks (e.g., scikit-learn, LGBM).
  • Strong communication skills for translating complex data into actionable narratives and presenting confidently to technical and non-technical audiences, including senior executives.
  • Preferred Qualifications:
  • MS in computer science, statistics, math or a related quantitative field +5 years of relevant experience OR PhD + 3 years of relevant experience with an emphasis on experimentation or causal inference.
  • Experience with ETL and data engineering: data extraction, transformation, integration, and quality controls for analytics at scale.
  • Skilled in production deployment and monitoring of data science solutions, including CI/CD pipelines, automated reporting, and ongoing experiment/model monitoring.
  • Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, and Github.
  • Strong strategic business insight, preferably in subscription-based business models, with ability to apply experimentation and analytics to market trends and consumer insights.
  • Proven track record of leadership and stakeholder/project management, including influencing cross-functional teams and delivering high-impact outcomes.
  • Adept at adapting quickly to shifting priorities in a fast-moving environment while maintaining quality.
  • Drive and maintain a culture of quality, innovation and experimentation.
  • Demonstrated experience mentoring colleagues on best practices and technical concepts for building large scale solutions.