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Remote Cyber Security Data Scientist Jobs (NOW HIRING)

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

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 ...

Cyber Data Scientist Overview This role is responsible for developing and deploying analytical ... cybersecurity teams. It will require close partnerships with other internal teams to shape the ...

Data Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

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 ...

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 ...

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 ...

Data Scientist Job Location: REMOTE Pay: $85/hr on W2 Duration: 12 months Long-term role with opportunities for hire CPG analytics background preferred. Digital Commerce Marketing Analytics ...

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 ...

As a Data Scientist, you'll dig into the data to uncover insights, identify opportunities for ... Employee divides their time between in-office and remote work. Access to an office location is ...

Data Scientist

Charlotte, NC · On-site +1

$90K - $135K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

Data Scientist

Hartford, CT · On-site +1

$90K - $135K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

Data Scientist

$74K - $111K/yr

The Data Scientist is responsible for developing and applying statistical, machine learning, and ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Data Scientist

OR · On-site +1

$74K - $111K/yr

The Data Scientist is responsible for developing and applying statistical, machine learning, and ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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Remote Cyber Security Data Scientist information

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$46K

$165K

$243.5K

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

As of Jun 15, 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:
What states have the most Remote Cyber Security Data Scientist jobs? States with the most job openings for Remote Cyber Security Data Scientist jobs include:
Infographic showing various Remote Cyber Security Data Scientist job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 77% Full Time, 3% Part Time, 3% Temporary, 3% Contract, and 11% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

Elder Research

Arlington, VA • On-site, Remote

Full-time

Posted 9 days ago


Job description

Data Scientist


General Information

Requisition # 694

Locations USA-VA-Arlington OR USA-NC-Raleigh

Posting Date 05/08/2026

Security Clearance Required - NONE

Remote Type Hybrid

Time Type Full time


Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1–2 days onsite per week.

This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder. You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Responsibilities include but are not limited to:

  • Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models. Additionally, candidate should be capable of leading and mentoring more junior data scientists.
  • Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.
  • Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction.
  • Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.
  • Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.

Minimum Qualifications:

  • 5+ years of experience as a Data Scientist.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • Proficiency in Python, including libraries for data analysis and modeling.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Strong hands-on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines.
  • Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.
  • Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools.
  • Understanding of IAM roles, policies, and security best practices for AWS services.
  • Curiosity and a passion for exploring data to understand business context and connect technical work to real-world impact.
  • Willingness to learn new tools/techniques.

Preferred Qualifications:

  • Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript.
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills, capable of representing the team effectively to clients.
  • Ability to work autonomously in a fully remote, flexible environment.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.