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Afternoon Data Science Mentor Jobs in Riverside, CA

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... mentoring team members - Embracing change and innovation in technology consulting - Developing ...

Edwards Lifesciences

Staff Data Scientist

Irvine, CA · On-site

$126 - $178/hr

Mentor senior and mid-level data scientists and shape the research to productization handoff with AI/ML Engineers (Applied). Model performance, optimization & process enablement. Guide implementation ...

PDS Health

Sr Analyst, People Analytics and Data

Irvine, CA · On-site

$92K - $116K/yr

Bachelor's Degree in Business, IT/MIS, Data Science, Statistics, Math or related fields, or +5 ... Mentoring team members with less experience. * Highly developed teambuilding, influencing, and ...

Planet DDS

Data Engineer IV

Irvine, CA

$118K - $170K/yr

Mentor and coach junior and mid-level data engineers, fostering a culture of technical excellence ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent ...

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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

AI & GenAI Data Scientist - Manager

Pwc

Irvine, CA

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Key responsibilities

  • Design and implement AI systems to transform raw data into actionable insights

  • Lead teams in the development of scalable machine learning models and solutions

  • Manage complex data analysis and integration to support AI-driven initiatives

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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