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Roc Operator Jobs in Reston, VA (NOW HIRING)

Capital One

Manager, Data Scientist

Mclean, VA

... and operating across billions of customer records to unlock the big opportunities that help ... You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering ...

Capital One

Manager, Data Scientist

Mclean, VA · On-site

... and operating across billions of customer records to unlock the big opportunities that help ... You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering ...

Capital One

Principal Data Scientist

Mclean, VA · On-site

... and operating across billions of customer records to unlock the big opportunities that help ... You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering ...

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All JobsRoc Operator JobsRoc Operator Jobs in Reston, VA

Roc Operator information

See Reston, VA salary details

$11

$20

$30

How much do roc operator jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for roc operator in Reston, VA is $20.88, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $23.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a ROC Operator, and why are they important?

To thrive as a ROC (Remote Operations Center) Operator, you need strong analytical skills, attention to detail, and a background in industrial operations or technical fields, often supported by relevant certifications. Familiarity with SCADA systems, remote monitoring tools, and incident management platforms is typically required. Excellent communication, problem-solving abilities, and the capacity to stay calm under pressure are standout soft skills. These skills ensure efficient monitoring, rapid response to incidents, and the safe, continuous operation of critical infrastructure.

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

A Roc Operator can potentially earn around $10,000 per month with experience, specialized skills, and working in high-demand environments such as construction or industrial settings. These roles often require technical knowledge, safety certifications, and the ability to operate heavy machinery, but typically do not require a college degree. Income varies based on location, hours, and industry demand.

What are ROC Operators?

ROC Operators, or Remote Operations Center Operators, are professionals responsible for monitoring and managing operations of remote systems, such as power plants, data centers, or industrial facilities, from a centralized location. They use specialized software and tools to oversee system performance, detect anomalies, respond to alarms, and ensure operational efficiency and safety. ROC Operators play a critical role in maintaining uptime, troubleshooting issues, and coordinating with on-site personnel to resolve problems quickly. Their work helps organizations ensure continuous and reliable operation of critical infrastructure.

What is a ROC operator?

A ROC operator is a worker responsible for operating and maintaining a ROC (Remote Operations Center) or similar control room environment. They monitor systems, respond to alerts, and ensure smooth operations, often using specialized software and communication tools. This role requires attention to detail, technical skills, and sometimes certifications related to the specific industry or equipment.

What is the difference between Roc Operator vs Drilling Rig Operator?

AspectRoc OperatorDrilling Rig Operator
CredentialsHigh school diploma, safety certifications, technical trainingHigh school diploma, safety certifications, technical training
Work EnvironmentMining sites, open-pit or underground operationsOil and gas drilling sites, onshore or offshore rigs
Industry UsageMining industry, mineral extractionOil and gas industry, energy sector

Both Roc Operators and Drilling Rig Operators require safety certifications and technical training. Roc Operators typically work in mining environments, focusing on mineral extraction, while Drilling Rig Operators work in the oil and gas industry, operating drilling rigs. Despite similar credentials, their work environments and industry applications differ significantly.

What are some common challenges faced by ROC Operators, and how can they be addressed?

ROC Operators often encounter challenges such as monitoring multiple systems simultaneously, responding quickly to alarms, and maintaining accurate logs under pressure. Effective time management and strong attention to detail are essential to prevent oversight and ensure operations run smoothly. Collaborating with other departments and regularly participating in training sessions can help ROC Operators stay updated on procedures and improve response times. Developing strong communication skills also aids in efficiently escalating issues and coordinating with team members.

What jobs pay $2000 a day?

Some high-paying jobs for a Roc Operator or similar roles in heavy equipment operation can reach $2,000 per day, especially with specialized skills, certifications, and overtime. These roles are often found in construction, mining, or oil and gas industries and may require extensive experience and safety training.

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

Jobs that can pay $500,000 or more annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like top-tier surgeons, successful entrepreneurs, and high-level investment bankers. These roles typically require extensive experience, advanced skills, and often involve significant responsibility or ownership stakes.
What are popular job titles related to Roc Operator jobs in Reston, VA? For Roc Operator jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Roc Operator jobs in Reston, VA look for? The top searched job categories for Roc Operator jobs in Reston, VA are:
What cities near Reston, VA are hiring for Roc Operator jobs? Cities near Reston, VA with the most Roc Operator job openings:
Roc Operator jobs near you
Senior Manager, Data Science - Model Risk Office

Senior Manager, Data Science - Model Risk Office

Capital One

Mclean, VA • On-site

Full-time

Posted 2 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

Senior Manager, Data Science - Model Risk Office
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
The Capital One Model Risk Office is dedicated to safeguarding the company from model failures while simultaneously enhancing decision-making through models, including unique risks associated with Generative AI (GenAI). Leveraging expertise in statistics, software engineering, and business, we strive to achieve optimal results for both Risk Management and the broader Enterprise. We prioritize long-term success by continually investing in future capabilities: acquiring new skills, developing superior tools, and cultivating strong relationships with trusted partners. Our approach involves learning from past errors to develop increasingly robust techniques that prevent recurrence.
Role Description
In this role, you will:
  • Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models
  • Leverage a broad stack of technologies - from foundational frameworks (PyTorch, Hugging Face), to orchestration tools (LangChain, Vector Databases) to LLMOps, observability platforms, and more - to reveal the insights hidden within huge volumes of multi-modal data
  • Build machine learning models to challenge "champion models" that are deployed in production today and contribute to the model governance framework for the next generation of models
  • Validate a wide variety of models across multiple business domains within our Enterprise Services division, and flex your interpersonal skills to present how identified model risks could impact the business to executives.

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.
  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
  • 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 backtested 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 7 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 5 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 2 years of experience performing data analytics
  • At least 2 years of experience leveraging open source programming languages for large scale data analysis
  • At least 2 years of experience working with machine learning
  • At least 2 years of experience utilizing relational databases

Preferred Qualifications:
  • PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics
  • At least 1 year of experience working with AWS
  • At least 1 year of experience managing people
  • At least 5 years' experience in Python, Scala, or R for large scale data analysis
  • At least 5 years' experience with machine learning

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.
Chicago, IL: $209,000 - $238,500 for Sr Mgr, Data Science
McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science
Richmond, VA: $209,000 - $238,500 for Sr 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 the Capital 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).

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