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Cybersecurity - Data Scientist - Math, ML, Algorithm

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Cybersecurity - Data Scientist - Math, ML, Algorithm

Erias Ventures

Cybersecurity - Data Scientist - Math, ML, Algorithm

Skills

Google Cloud PlatformPythonData SciencePyTorchTensorFlowRDatabricksGitCybersecurityData AnalysisMachine LearningAIAWSBusiness DevelopmentAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Annapolis, MD, USA

Work mode:

Remote

Published on:

15 September 2026

What they need


Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving , open communication , and empowering our employees to make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.

Description We are seeking skilled and motivated Data Scientist to support a cybersecurity and infrasructure team responsible for defensive cyber support. This is an exciting opportunity to work with true thought leaders in the industry.

This position allows for telework. Clearance The ability to be nominated for Suitability at our federal customer is required.

Experience Bachelor's degree in Data Science, Computer Science, Information Technology, or a related discipline from an accredited college or university is required. Four (4) years of additional experience in data analytics or cybersecurity may be substituted for a bachelor's degree.

Desired Skills

  • Applied AI/ML
  • Modern ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face)
  • Major cloud platform (AWS, Azure, or GCP) and their ML services
  • Python
  • R
  • Databricks
  • Generative AI
  • Algorithm development
  • Cybersecurity understanding
  • Software engineering principles, version control (Git), and CI/CD practices

Benefits Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $80,000 - $180,000.

Wealth Benefits

  • Above Market Hourly Pay
  • 11% Roth or Traditional 401k with Immediate Vesting and Deposit
  • Spot Bonuses for Assisting with Business Development and Company Growth
  • Professional Development Bonuses for Certificates and Degrees

Health Benefits:

  • Company subsidized Medical Coverage
  • 100% Company Paid Vision and Dental Coverage
  • 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance
  • Monthly Wellness Reimbursement

Happiness Benefits:

  • Paid Time Off with Flexible Work Schedules and Birthday Off
  • Amazon Prime Membership and Monthly Internet Reimbursement
  • Technology and Productivity Allowance for Equipment and Supplies
  • Morale Building and Company Events to Celebrate our Successes and Build our Community
  • Onboarding and Annual Swag
  • Company Paid Professional Development and Training

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Referrals & Inquiries Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire.

Not seeing the right position right now? Reach out to us, and we’ll notify you as new contracts and opportunities become available!

Please Send Referrals And Inquiries To [email protected] To learn more about our company visit our webpage or LinkedIn.

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