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Afternoon Data Science Mentor Jobs in Riverside, CA

AbbVie

Senior Manager, Clinical Data Systems

Irvine, CA · On-site

$124K/yr

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is ... Demonstrated ability to successfully coach/mentor in a matrix environment Demonstrated effective ...

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All JobsAfternoon Data Science Mentor JobsAfternoon Data Science Mentor Jobs in Riverside, CA

Afternoon Data Science Mentor information

What does an afternoon data science mentor do?

An Afternoon Data Science Mentor guides and supports students or junior data scientists during afternoon hours, helping them understand key data science concepts, troubleshoot problems, and complete projects. They typically provide one-on-one or group mentoring sessions, answer questions related to programming, statistics, and machine learning, and offer career advice within the data science field. Their goal is to facilitate learning and ensure students gain practical skills needed for data science roles.

What are the key skills and qualifications needed to thrive as an afternoon data science mentor?

To thrive as an Afternoon Data Science Mentor, you need expertise in data analysis, machine learning, and programming languages such as Python or R, typically backed by a degree in a quantitative field and relevant industry experience. Familiarity with tools like Jupyter Notebook, Git, and data visualization platforms, as well as mentorship or teaching certifications, is often required. Strong communication, patience, and the ability to give constructive feedback are crucial soft skills for effectively guiding and supporting learners. These skills are essential to foster student growth, ensure comprehension of complex topics, and create a positive, engaging educational environment.

How does an afternoon data science mentor typically support students during their sessions?

As an Afternoon Data Science Mentor, you’ll work closely with students to clarify complex data science concepts, provide guidance on projects, and offer feedback on assignments. Mentors often facilitate group discussions, conduct one-on-one check-ins, and help students troubleshoot technical issues. The role requires patience, strong communication skills, and the ability to adapt explanations for learners with diverse backgrounds. Collaboration with other mentors and instructional staff is common to ensure students receive well-rounded support and up-to-date information.

What is the difference between Afternoon Data Science Mentor vs Data Science Instructor?

AspectAfternoon Data Science MentorData Science Instructor
CredentialsTypically requires a data science background, certifications, and mentoring experienceRequires a background in data science or related field, often with teaching certifications
Work EnvironmentOne-on-one or small group mentoring sessions, flexible hoursClassroom or online teaching, structured curriculum
Employer & IndustryEducational platforms, bootcamps, private coachingUniversities, coding bootcamps, online course providers
Search & Comparison IntentLooking for personalized guidance and mentorship in data scienceSeeking formal instruction or courses in data science

The main difference is that an Afternoon Data Science Mentor offers personalized, flexible mentorship to individuals, focusing on practical skills and guidance. In contrast, a Data Science Instructor provides structured teaching in a classroom or online setting, often following a set curriculum. Both roles require data science expertise but differ in delivery style and environment.

What are the most commonly searched types of Data Science Mentor jobs in Riverside, CA?

The most popular types of Data Science Mentor jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Afternoon Data Science Mentor jobs?

Cities near Riverside, CA with the most Afternoon Data Science Mentor job openings:

Afternoon Data Science Mentor jobs near you

Data Engineering Focused Consultant (Ph.D.)

Exponent Inc.

Irvine, CA • On-site

$133 - $150/hr

Other

Re-posted 21 days ago

Job description

About Exponent

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges.


We are committed to engaging multidisciplinary teams of science, engineering, and regulatory experts to empower our clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.


Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team!


Key statistics:



  • 950+ Consultants

  • 640+ Ph.D.s

  • 90+ Disciplines

  • 30+ Offices globally


Our Opportunity

We are currently seeking aPh.D. level Data Engineering Focused Consultantfor ourData SciencesPractice inIrvine, CAorLos Angeles, CA. In this role, you will work as part of a team to rapidly design and develop data-driven applications for a wide variety of industries, including healthcare, utilities, defense, and consumer electronics. You will have the opportunity to define and shape your individual consulting practice based on your skills and interests.


You will be responsible for

  • Converting prototype engineering and data science models into production-grade applications

  • Integrating and curating data across complex data models to support research and analytics

  • Designing, implementing, and monitoring scalable data pipelines, optimizing for performance and cost efficiency

  • Serving as a resident expert in databases and determining appropriate compute and storage solutions to meet anticipated needs

  • Incorporating security best-practices into data storage and pipelines and designing roles and permissions for databases and cloud environments

  • Supporting stakeholders with data provenance and data quality details needed for informed decision-making
  • Collaborating in multi-disciplinary project settings with scientists, engineers, and business leaders


You will have the following skills and qualifications

  • Ph.D. in Computer Science or a related scientific or engineering field where you were involved in the development of production-grade software

  • Demonstrated experience and expertise in one or more of the following domains, while developing expertise in other domains:

    • Data Engineering: building, debugging, and monitoring ETL pipelines on distributed computing systems

    • Cloud Architecting: designing and deploying secure, scalable, and cost-efficient solutions for data warehousing, storage, and compute

    • Data Modeling: developing schemas tailored for data collection, analytics, and frontend applications

    • Database Administration: designing database schemas, roles, and permissions and optimizing database performance



  • Experience collaborating with other developers on production-grade software using version control (Git, SVN, or others)

  • High proficiency (3+ years) in Python using NumPy, Pandas, SciPy, and other scientific computing packages

  • Deep experience with at least one other computing language (PySpark, R, MATLAB, or Java)

  • Power BI or other dashboarding experience a plus

  • The desire to work with a diverse set of clients and engage in innovative work outside of the traditional computer science field

  • Excellent verbal and written communication skills to explain technical details to both technical and non-technical stakeholders

  • Ability to work independently and in multidisciplinary teams

  • A proactive, self-driven approach to staying current with industry trends and emerging technologies


Life @ Exponent

To learn more about life at Exponent and our impact, please visit the following links:


https://www.exponent.com/careers/life-exponent


https://www.exponent.com/company/our-impact


Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.


Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.


Work Environment

At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.


We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite


Salary Range

USD $133,000.00 - USD $150,000.00 /Yr.


Benefits you will enjoy

Access benefits information on our Life@Exponent page: https://www.exponent.com/careers/life-exponent


Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.


If you need assistance or accommodation due to a disability, you may email us atHR-Accommodations@exponent.com.


Job Locations

US-CA-Irvine US-CA-Los Angeles

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