Remote Cybersecurity Data Scientist - ML, Math & Algorithms

Erias Ventures, LLC

Maryland

On-site

USD 80,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Above Market Pay
Roth/401k with vesting
Spot Bonuses
Professional Development
Medical Coverage
Vision and Dental Coverage
Disability Insurance
Wellness Reimbursement
Paid Time Off
Flexible Schedule
Birthday Off
Internet Reimbursement

Job summary

Erias Ventures, LLC is seeking a Cybersecurity Data Scientist to join our team in Annapolis Junction, MD. You will apply math, ML, and algorithmic approaches to defend critical infrastructures for a federal customer. This role supports a telework arrangement and requires ability to be nominated for Suitability clearance.

We value creative problem-solving, open communication, and empowering employees to propose innovative solutions in a growth-oriented environment.

Qualifications

  • Bachelor's degree in Data Science, CS, IT, or related field required.
  • Four years of additional experience in data analytics or cybersecurity may substitute for a bachelor's degree.
  • Requires ability to be nominated for Suitability at a federal customer.

Responsibilities

  • Support a cybersecurity and infrastructure team responsible for defensive cyber operations.
  • Collaborate with industry thought leaders; telework is available.

Skills

Applied AI/ML
Modern ML frameworks
Major cloud platform
Python
R
Databricks
Generative AI
Algorithm development
Cybersecurity understanding
Software engineering principles

Education

Bachelor's degree in Data Science/CS/IT or related

Tools

Databricks

Job description

Erias Ventures, LLC is seeking a Cybersecurity Data Scientist to join our team in Annapolis Junction, MD. You will apply math, ML, and algorithmic approaches to defend critical infrastructures for a federal customer. This role supports a telework arrangement and requires ability to be nominated for Suitability clearance.

We value creative problem-solving, open communication, and empowering employees to propose innovative solutions in a growth-oriented environment.

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