Remote Cybersecurity Data Scientist - ML, Math & Algorithms

Erias Ventures, LLC; Maryland; Remote; USD 80,000 - 180,000; Full time

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.