Enterprise - Data Scientist - R, Operations, Python 7/6/2026 Annapolis Junction, MD MD - DEC

Erias Ventures, LLC; Annapolis (MD); On-site; USD 125,000 - 145,000; Full time

Benefits offered by this job

Above Market Hourly Pay

11% 401k with Immediate Vesting

Subsidized Medical Coverage

100% Paid Vision and Dental Coverage

Paid Time Off

Professional Development Bonuses

Job summary

Erias Ventures, LLC seeks a Data Analyst in Annapolis, Maryland. In this role, you'll provide analysis and documentation support, collaborating with senior analysts across various projects.

Candidates must have at least 1 year of experience in statistics or operations research, and proficiency in R or Python is required. A Top-Secret/SCI clearance is mandatory. The position offers a competitive salary package.

Qualifications

• 1+ years of experience in statistics or operations research.
• Ability to work effectively in a collaborative and fast-paced environment.
• Experience using scientific methods to inform qualitative and quantitative analyses.

Responsibilities

• Provide general data analysis, research, and documentation support.
• Work as part of a team under the supervision of senior analysts.
• Support all aspects of analysis on various modeling efforts.

Skills

Statistics

Operations research

Advanced mathematics

R programming

Python programming

Data analyzing

Scientific methods

Collaborative work

Optimization

Data gathering

Education

HS diploma or GED

Bachelor's degree in Operations Research, Applied Mathematics, or Data Science

Tools

Windows OS

Linux OS

Job description

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

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 mathematics
• 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

Equal Employment Opportunity

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.