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Remote Cyber Security Data Scientist Jobs (NOW HIRING)

ABC Legal Services

Data Scientist

Los Angeles, CA · On-site +1

$110K - $130K/yr

Strong self-direction and communication skills suited for a remote work environment Nice to Have ... Opportunity to shape data science strategy at a growing, industry-leading company Salary Range ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Inspira Financial

Data Scientist (Remote)

Oak Brook, IL · On-site +1

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

New

MhyMatch

Data Scientist

New York, NY · On-site +1

Remote Brief Overview of the We are seeking a highly skilled Data Scientist to join our client, a leading product-based software company. This role leverages large volumes of data using modern tools ...

MhyMatch

Data Scientist

San Francisco, CA · On-site +1

Remote/Hybrid Brief Overview of the Our Client is seeking a highly skilled Data Scientist to leverage large volumes of data using modern tools and technologies to uncover insights, build predictive ...

Inspira Financial

Data Scientist (Remote)

Oak Brook, IL · Remote

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

New

SAIC

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Overview We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

It is anticipated that this position will be remote and requires work be performed at an offsite ... We provide technology solutions to the School of Medicine and Public Health including cybersecurity ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Maximus

Senior Director - Cyber Security & Innovation

VA · On-site +1

$111K - $150K/yr

Preferred Skills and Qualifications: - Master's degree in Computer Science, Cybersecurity, Data ... Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants ...

Radiance Technologies

Data Scientist

Advanced Trade Analytics Platform (ATAP) Remote (U.S.) Active Top Secret Clearance Required Solve ... Data Science * Statistics * Applied Mathematics * Computer Science * Operations Research

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Remote Cyber Security Data Scientist information

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How much do remote cyber security data scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote cyber security data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

How do Remote Cyber Security Data Scientists typically collaborate with cross-functional teams to address security threats?

Remote Cyber Security Data Scientists often work closely with security analysts, IT professionals, and software engineers to identify, analyze, and mitigate cyber threats. Collaboration usually happens through virtual meetings, shared dashboards, and real-time messaging platforms. They contribute by developing machine learning models that detect anomalies and by interpreting large datasets to uncover potential vulnerabilities. Clear communication and regular updates are essential to ensure findings are actionable and integrated into the organization's broader security strategy.

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

To thrive as a Remote Cyber Security Data Scientist, you need a solid background in computer science, statistics, cybersecurity principles, and advanced data analysis, often supported by a relevant degree and experience with cyber threat detection. Familiarity with programming languages like Python, machine learning frameworks, data visualization tools, and certifications such as CISSP or CompTIA Security+ are commonly required. Strong problem-solving abilities, analytical thinking, and proactive communication skills help you collaborate across teams and effectively interpret complex security data. These skills enable you to identify and mitigate cyber threats efficiently, protecting organizational assets in a constantly evolving digital landscape.

What is a Remote Cyber Security Data Scientist?

A Remote Cyber Security Data Scientist is a professional who analyzes and interprets complex digital data to identify and mitigate security threats, all while working from a remote location. They use techniques from data science, such as machine learning, statistical analysis, and data mining, to detect cyber threats and improve security measures. Their work involves developing algorithms to identify vulnerabilities, analyzing security incidents, and helping organizations make data-driven decisions to protect sensitive information. The remote aspect of the role allows these professionals to collaborate with teams and manage security tasks from anywhere with an internet connection.
More about Remote Cyber Security Data Scientist jobs
What cities are hiring for Remote Cyber Security Data Scientist jobs? Cities with the most Remote Cyber Security Data Scientist job openings:
What are the most commonly searched types of Cyber Security Data Scientist jobs? The most popular types of Cyber Security Data Scientist jobs are:
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What job categories do people searching Remote Cyber Security Data Scientist jobs look for? The top searched job categories for Remote Cyber Security Data Scientist jobs are:
Remote Cyber Security Data Scientist jobs near you
Infographic showing various Remote Cyber Security Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 95% Full Time, 2% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

ABC Legal Services

Los Angeles, CA • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

About ABC Legal Services

ABC Legal Services is the nation's premier process serving and court filing company, operating across all 50 states. We are a technology-forward legal services company on a mission to make legal processes faster, smarter, and more reliable. Our data and engineering teams are central to that mission — building models and systems that power operations at scale. We're now looking for a Data Scientist with strong ML engineering and MLOps experience to help us take our machine learning capabilities to the next level.

Role Overview

We're seeking a Data Scientist with hands-on experience in machine learning engineering and MLOps. In this role, you'll own the full model lifecycle — from research and experimentation through deployment, monitoring, and iteration. You'll work within our AWS SageMaker Studio environment and collaborate closely with engineering, operations, and product teams to deliver models that drive measurable business outcomes.

Key Responsibilities

  • Develop, train, and evaluate machine learning models to solve business problems across operations, legal services, and marketing
  • Own the full ML lifecycle: data preparation, feature engineering, model training, validation, deployment, and monitoring
  • Build and maintain MLOps pipelines using AWS SageMaker Studio, including experiment tracking, model registry, and automated retraining workflows
  • Partner with product and operations teams to translate business requirements into data science solutions
  • Monitor deployed models in production, identify performance degradation, and drive continuous improvement
  • Document methodologies, model performance benchmarks, and technical decisions for internal knowledge sharing
  • Stay current with advances in ML and data science tooling, and advocate for best practices across the team

Requirements

Required

  • 3+ years of experience in data science or a closely related role, with demonstrated ML engineering and MLOps responsibilities
  • Strong proficiency in Python for data science and ML development (pandas, scikit-learn, PyTorch or TensorFlow)
  • Hands-on experience with AWS SageMaker Studio for model development, training, and deployment
  • Solid understanding of MLOps principles: model versioning, pipeline automation, drift detection, and production monitoring
  • Experience with SQL and working with structured data in cloud data warehouses or relational databases
  • Proven ability to translate complex data science findings into clear, actionable insights for non-technical stakeholders
  • Strong self-direction and communication skills suited for a remote work environment

Nice to Have

  • Experience in the legal, collections, or financial services industry
  • Background in targeted mail marketing, direct mail modeling, or customer segmentation
  • Familiarity with AI coding agents and agentic development workflows (e.g., Claude, Copilot, Cursor, or similar tools)
  • Experience with propensity modeling, uplift modeling, or response prediction
  • Exposure to LLM-based workflows or applied NLP in a production setting
  • Data engineering experience with modern tooling such as Dagster, Airbyte, and dbt
  • Familiarity with AWS data services including Glue, Lambda, Redshift, and Step Functions

Compensation & Benefits

  • Fully remote position with flexible working hours
  • Comprehensive health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and company holidays
  • Opportunity to shape data science strategy at a growing, industry-leading company

Salary Range: $110,000-$130,000 depending on experience