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Enterprise - Data Scientist - R, Operations, Python

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Onsite

Enterprise - Data Scientist - R, Operations, Python

Erias Ventures

Enterprise - Data Scientist - R, Operations, Python

Skills

PythonData ScienceRData AnalysisLinuxBusiness Development

1 month ago

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Important information


Contract type:

Permanent

Location:

Annapolis, MD, USA

Work mode:

Onsite

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 Provide general data analysis, research, and documentation support across a variety of modeling and analysis efforts. Work as part of a team under the supervision of senior analysts to support all aspects of analysis.

Clearance A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Experience Required skills:

  • 1+ years of experience in statistics, operations research, or advanced mathematic
  • Experience with R or Python
  • Experience using scientific methods to inform qualitative and quantitative analyses
  • Ability to work effectively in a collaborative and fast-paced environment
  • HS diploma or GED

Desired Skills

  • Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management
  • Experience analyzing large-scale datasets
  • Experience with data gathering, cleansing, and parsing
  • Experience developing and applying optimization and simulation models
  • Ability to work in Windows and Linux OS environments
  • Bachelor's degree in Operations Research, Applied Mathematics, or Data Science

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 $125,000 - $145,000.

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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