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Senior Remote Computer Forensics Analyst Jobs in Texas

Aledade PBC

Senior Financial Analyst, Remote

Austin, TX · On-site +1

$84K - $105K/yr

The Senior Financial Analyst will work with the FP&A team to provide support with the annual budget ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade PBC ...

Elara Caring

Senior Financial Analyst - Remote

Dallas, TX · On-site +1

$120K - $130K/yr

This means you have countless ways to make a difference as a Sr. Financial Analyst . Being a part of something this great starts by carrying out our mission every day through your true calling ...

Danaher

Sr. Financial Analyst

Austin, TX · On-site +1

$85K - $100K/yr

This position reports to the Sr. Financial Planning and Analysis Manager and is part of the Financial Planning and Analysis team and will be fully remote . In this r ole, you will have the ...

Sammons Industrial

Sr. Financial Analyst

Dallas, TX · On-site +1

$84K - $105K/yr

Remote Type: Hybrid You belong at a company that treats you like an Owner! Sammons Industrial is an ... Senior Financial Analyst, you'll dig into our financial performance, connect the numbers to what ...

SmartLight Analytics

Senior Data Analyst

Plano, TX · On-site +1

$80K - $101K/yr

The Senior Data Analyst will collaborate with cross-functional teams to translate complex data ... This position is a remote position. Key Responsibilities: Data Analysis and Interpretation

SpaceX

Sr. Platform Integrity Analyst (Starlink)

Bastrop, TX · On-site +1

$87K - $115K/yr

SR. PLATFORM INTEGRITY ANALYST (STARLINK) At SpaceX, we are committed to ensuring the service ... This position is based in Bastrop, TX and requires being onsite-remote work not considered * Must ...

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Senior Remote Computer Forensics Analyst information

What does a senior remote computer forensics analyst do?

A Senior Remote Computer Forensics Analyst is responsible for investigating cybercrimes and security incidents by analyzing digital evidence from computers and networks, often while working remotely. They use specialized tools to recover, preserve, and interpret electronic data, helping organizations understand security breaches or legal cases. These professionals may also write reports, present findings in court, and advise on improving cybersecurity practices. Their advanced experience allows them to lead investigations and mentor junior analysts.

What are some common challenges faced by senior remote computer forensics analysts when collaborating with geographically dispersed teams?

Senior Remote Computer Forensics Analysts often work with teams spread across various locations and time zones, which can present challenges in coordinating investigations and sharing sensitive data securely. Effective communication and the use of standardized digital forensic tools are crucial to ensure consistency and avoid misunderstandings. Additionally, maintaining the chain of custody in digital evidence while working remotely requires meticulous documentation and secure transfer protocols. Adapting to these challenges not only strengthens team collaboration but also enhances the quality and reliability of forensic findings.

What are the key skills and qualifications needed to thrive as a senior remote computer forensics analyst, and why are they important?

To thrive as a Senior Remote Computer Forensics Analyst, you need deep expertise in digital forensic methodologies, incident response, and investigative techniques, usually supported by a degree in computer science or cybersecurity and relevant certifications like GCFA or EnCE. Familiarity with industry-standard forensic tools such as EnCase, FTK, X-Ways, and remote forensic acquisition platforms is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you interpret findings and present results clearly to stakeholders. These competencies are vital for conducting thorough investigations, preserving evidence integrity, and supporting legal or organizational responses to cyber incidents.

What is the difference between Senior Remote Computer Forensics Analyst vs Remote Cybersecurity Analyst?

AspectSenior Remote Computer Forensics AnalystRemote Cybersecurity Analyst
CertificationsEnCE, GCFA, CISSP (preferred)CISSP, CEH, Security+
Work EnvironmentInvestigations, digital forensics labs, legal settingsNetwork monitoring, threat detection, incident response
Industry UsageLegal, law enforcement, corporate investigationsIT security, finance, healthcare, tech companies

The Senior Remote Computer Forensics Analyst specializes in digital evidence analysis and legal investigations, often working in legal or law enforcement contexts. In contrast, a Remote Cybersecurity Analyst focuses on protecting systems from threats and managing security incidents. While both roles require cybersecurity knowledge and certifications, their daily tasks and work environments differ significantly.

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For Senior Remote Computer Forensics Analyst jobs in Texas, the most frequently searched job titles are:

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Senior Remote Computer Forensics Analyst jobs near you

Senior Computer Vision Engineer ID72408

AgileEngine

Houston, TX • On-site, Remote

$99K - $137K/yr

Full-time

Posted 16 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 Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices.

WHAT YOU WILL DO
- Own the applied model development process across computer vision, AI/ML, and broader data science use cases;
- Translate complex business problems into viable, practical, and scalable AI/ML solutions;
- Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;
- Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;
- Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;
- Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;
- Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Strong, production-level proficiency in Python;
- Deep hands-on experience with PyTorch and/or TensorFlow;
- Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;
- Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);
- Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;
- Familiarity with deploying models on edge devices;
- Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;
- Upper-intermediate English level.

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.