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Remote Data Scanner Jobs in California (NOW HIRING)

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · On-site +1

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... data retention * Develop and customize BigID scans, connectors, and metadata ingestion

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · Remote

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... data retention * Develop and customize BigID scans, connectors, and metadata ingestion

Alutiiq

Software Engineer

San Diego, CA · On-site +1

... maintenance of data processing pipelines for imagery, 3D scanning, and engineering datasets ... Ability to work independently in a remote environment while supporting geographically distributed ...

Scanhealthplan

Sr. STARS Quality Analyst

Long Beach, CA · Remote

$71K - $103K/yr

... SCAN markets, potential partnerships, or growth opportunities. * Work with IT and data teams to ... Mostly Remote * An annual employee bonus program * Robust Wellness Program * Generous paid-time-off ...

REY Engineers, Inc

Extraction Technician

Folsom, CA · On-site +1

Engineers, Inc. 📍 Folsom, California | Remote and Hybrid Options | Full-Time About R.E.Y ... data from advanced technologies including Mobile Terrestrial LiDAR Scanning (MTLS), UAV ...

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Remote Data Scanner information

What are the key skills and qualifications needed to thrive as a Remote Data Scanner, and why are they important?

To thrive as a Remote Data Scanner, you need strong attention to detail, data entry accuracy, and familiarity with data management principles, often supported by a high school diploma or equivalent. Proficiency in spreadsheet software (such as Microsoft Excel or Google Sheets), document scanning tools, and secure data transfer systems is typically required. Excellent organizational skills, time management, and the ability to work independently are valuable soft skills in this role. These skills ensure that large volumes of data are processed accurately and securely, supporting efficient business operations and data integrity.

What are some common challenges faced by Remote Data Scanners, and how can they be addressed?

Remote Data Scanners often encounter challenges such as managing large volumes of data, ensuring data accuracy, and maintaining clear communication with distributed teams. To address these, it's important to establish consistent data validation protocols, use reliable remote collaboration tools, and participate in regular team check-ins. Developing strong organizational skills and staying updated on data security best practices also contribute to efficiency and job satisfaction in this role.

What is a Remote Data Scanner?

A Remote Data Scanner is a professional who uses specialized software and tools to access, analyze, and extract information from remote data sources, such as servers, databases, cloud storage, or networks. They often work in fields like cybersecurity, data analytics, and IT, ensuring data integrity, compliance, and security. Their work is typically conducted from a remote location, which allows organizations to monitor and manage data without the need for on-site presence. Remote Data Scanners play a crucial role in identifying vulnerabilities, tracking data flow, and supporting data-driven decision-making.
What are the most commonly searched types of Data Scanner jobs in California? The most popular types of Data Scanner jobs in California are:
What are popular job titles related to Remote Data Scanner jobs in California? For Remote Data Scanner jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Data Scanner jobs in California look for? The top searched job categories for Remote Data Scanner jobs in California are:
What cities in California are hiring for Remote Data Scanner jobs? Cities in California with the most Remote Data Scanner job openings:
Remote Data Scanner jobs near you
Infographic showing various Remote Data Scanner job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Scientist ID71658

Data Scientist ID71658

AgileEngine

Downey, CA • On-site, Remote

Full-time

Posted 9 days ago

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior/Lead Data Scientist to develop predictive models and quantitative analytics that power risk-based vulnerability prioritization within a large-scale enterprise security program. You will structure and analyze massive security telemetry datasets, build ML algorithms to eliminate scanning noise and false positives, and establish unified data dashboards to drive adoption of data-driven security governance. The role requires 6+ years of data science experience applied specifically to cybersecurity, vulnerability management, or financial risk models.
WHAT YOU WILL DO
- Develop predictive models and quantitative analytics to prioritize vulnerabilities based on contextual risk and business impact;
- Structure and analyze massive outputs of security data from across the enterprise ecosystem to support the ASPM framework;
- Create machine learning algorithms or statistical models to automatically identify and filter out scanning noise and false positives;
- Establish a unified data delivery structure and dashboards to drive the adoption of data-driven security governance.
MUST HAVES
- 6+ years of commercial data science experience, operating completely autonomously with no required supervision;
- Advanced proficiency in Python, R, and SQL;
- Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools;
- Prior commercial experience applying data science specifically to cybersecurity, vulnerability management, or financial risk models;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with Cloud Security Posture Management (CSPM) data outputs (e.g., Wiz).
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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