1

T Roc Jobs in California (NOW HIRING)

Partner with various other groups including Design, construction, ISP, NOC/ROC to resolve escalated ... These aren't just words, they help us build trust, create real community, and embrace new ways of ...

Partner with various other groups including Design, construction, ISP, NOC/ROC to resolve escalated ... These aren't just words, they help us build trust, create real community, and embrace new ways of ...

Partner with various other groups including Design, construction, ISP, NOC/ROC to resolve escalated ... These aren't just words, they help us build trust, create real community, and embrace new ways of ...

Partner with various other groups including Design, construction, ISP, NOC/ROC to resolve escalated ... These aren't just words, they help us build trust, create real community, and embrace new ways of ...

next page

Showing results 1-20

T Roc information

See California salary details

$5

$30

$42

How much do t roc jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for t roc in California is $30.01, according to ZipRecruiter salary data. Most workers in this role earn between $24.18 and $32.50 per hour, depending on experience, location, and employer.

How does a T-ROC Brand Ambassador typically collaborate with store teams to drive sales and ensure a positive customer experience?

As a T-ROC Brand Ambassador, collaboration with in-store teams is an essential part of the role. Brand Ambassadors work closely with store management and sales associates to understand store goals, align on promotions, and share product knowledge. They often assist in training store staff on new products or sales strategies and coordinate efforts during special events or product launches. Effective communication and teamwork help ensure both T-ROC and the retailer achieve sales targets while delivering high-quality customer service.

What are T Roc jobs?

T Roc, which stands for The Revenue Optimization Companies, offers a variety of jobs primarily in retail management, sales, merchandising, and field operations. Employees may work directly in retail stores, manage sales teams, implement marketing strategies, or provide technology support for clients. T Roc jobs typically involve helping brands and retailers optimize their sales, enhance customer experiences, and increase revenue through hands-on support and data-driven insights. The company partners with major brands and retailers across the U.S., offering both full-time and part-time roles with opportunities for career advancement.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include executive roles such as CEOs and CFOs, specialized medical professionals like neurosurgeons and anesthesiologists, and successful entrepreneurs or business owners. These positions typically require advanced education, extensive experience, and often involve high levels of responsibility and skill.

Which 3 jobs will survive AI?

Jobs like T Roc, which involve complex human interaction, creativity, and critical thinking, are more likely to survive AI automation. Roles in healthcare, skilled trades, and education require empathy, adaptability, and hands-on skills that AI cannot easily replicate. These fields also benefit from ongoing certification and specialized training to maintain relevance.

What jobs pay 10,000 a month without a degree?

Jobs that can pay $10,000 a month without a degree include sales roles such as real estate agents or high-ticket sales, freelance or consulting work in fields like digital marketing or IT, and skilled trades like electricians or plumbers with experience. Success in these roles often depends on skills, experience, and performance rather than formal education.

Is T-Roc a good company to work for?

T-Roc is a vehicle model produced by Volkswagen and not a company. If you are referring to employment opportunities related to T-Roc manufacturing or sales, working for Volkswagen or authorized dealerships may offer standard industry benefits such as training, competitive pay, and a structured environment. Job satisfaction can vary based on role, location, and individual expectations.

What are the key skills and qualifications needed to thrive as a T-ROC Sales Associate, and why are they important?

To thrive as a T-ROC Sales Associate, you need strong sales acumen, customer service skills, and preferably a high school diploma or equivalent. Familiarity with point-of-sale (POS) systems, mobile devices, and CRM platforms is typically required. Outstanding communication, adaptability, and a positive attitude help you excel in engaging customers and achieving sales goals. These skills and qualities are vital for driving revenue, building customer loyalty, and succeeding in a fast-paced retail environment.

What is the difference between T Roc vs Sound Technician?

AspectT RocSound Technician
Required CredentialsHigh school diploma, on-the-job training, or technical certificationHigh school diploma, technical certification or associate degree often preferred
Work EnvironmentConcert venues, theaters, live eventsRecording studios, live events, broadcast stations
Industry UsageMusic, entertainment, live eventsMusic, film, broadcasting, live events

The main difference between a T Roc and a Sound Technician lies in their focus areas. T Roc typically specializes in managing and operating sound equipment for live performances, while Sound Technicians may work across various audio settings including recording and broadcasting. Both roles require similar certifications and work environments, but T Roc roles are more centered on live event sound management.

What cities in California are hiring for T Roc jobs? Cities in California with the most T Roc job openings:
Infographic showing various T Roc job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 77% Physical, 1% Hybrid, and 22% Remote job distribution, with an average salary of $62,415 per year, or $30 per hour.
Manager, Data Science - Consumer Identity Machine Learning

Manager, Data Science - Consumer Identity Machine Learning

Capital One

San Jose, CA • On-site

Full-time

Posted 25 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Manager, Data Science - Consumer Identity Machine Learning
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

Consumer Identity ML is the data science and machine learning team inside Capital One's AI foundation organization. We deliver real-time, personalized, intelligent customer experiences in Capital One's suite of award-winning digital products, including our website, mobile app, emails, chatbot, and beyond. We partner closely with our product and engineering teams to build the data and modeling platforms crucial to the deep understanding of customers that enables our applications to delight them by adapting to their needs.

As part of Consumer ML, you will:

  • Explore billions of clickstream events to discover the patterns in customer behavior, and use those patterns to model key customer outcomes

  • Develop the real-time models that use vast amounts of customer data to anticipate customers' needs and deliver the right options at the right time

  • Develop the models that ensure our most important customer data is accurate, fighting fraud and other bad behavior, while enabling seamless digital experiences across all our products

Role Description

In Consumer Identity ML, you will work at all phases of the data science life cycle, including:

  • Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams toimprove operationalizationin scalable and resilient production systems that serve 50+ million customers.

  • Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.

  • Write software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark.

The Ideal Candidate is

  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.

  • Statistically-minded.You've built models, validated them, and back tested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.

  • A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.


Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics

  • At least 1 year of experience leveraging open source programming languages for large scale data analysis

  • At least 1 year of experience working with machine learning

  • At least 1 year of experience utilizing relational databases


Preferred Qualifications:

  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 4 years' experience in Python, Scala, or R for large scale data analysis
  • At least 4 years' experience with machine learning
  • At least 4 years' experience with SQL


Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Mgr, Data Science


New York, NY: $215,200 - $245,600 for Mgr, Data Science


San Jose, CA: $215,200 - $245,600 for Mgr, Data Science









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom