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Roc Operator Jobs in Virginia (NOW HIRING)

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 ...

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Roc Operator information

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 is a ROC operator?

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 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 are popular job titles related to Roc Operator jobs in Virginia? For Roc Operator jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Roc Operator jobs in Virginia look for? The top searched job categories for Roc Operator jobs in Virginia are:
What cities in Virginia are hiring for Roc Operator jobs? Cities in Virginia with the most Roc Operator job openings:
Roc Operator jobs near you
Infographic showing various Roc Operator job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Principal Associate, Data Scientist - Bank Operations Data Science

Socket.dev

Mclean, VA • On-site

$161.80 - $184.60/hr

Other

Posted 3 days ago

New

Job description

Principal Associate, Data Scientist - Bank Operations Data Science

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

Bank Operations Data Science team builds the machine learning models that help provide core capabilities internally such as Check/Document Reading, Anomaly Identification, Natural Language Processing of Calls, and operational forecasting. We build ground-breaking industry leading models using emerging technologies like neural networks, LLMs, transformer architectures, and agentic experiences.

Role Description In this role, you will:
  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies — Python, Snowflake and more — to reveal the insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals
  • This role works directly with our call center operations team to streamline call processing including summarization and automation to help our call center associates better serve our customers.
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 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.
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 5 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 3 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)
Preferred Qualifications:
  • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 3 years’ experience in Python, Scala, or R
  • At least 3 years’ experience with machine learning
  • At least 3 years’ experience with SQL
  • Proven track record of identifying and mitigating risks specifically linked to LLMs
  • Proven ability to create and maintain technical documentation
Compensation & Benefits

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: $161,800 - $184,600 for Principal Associate, Data Science

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.

Application

This role is expected to accept applications for a minimum of 5 business days. No agencies please.

Equal Opportunity Employer

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.

For accommodation requests, 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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