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Remote Math Internship Jobs in Washington, DC (NOW HIRING)

Mathematics * Operations Research * Quantitative Finance * Statistics * Experience analyzing real ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

Mathematics * Operations Research * Quantitative Finance * Statistics * Experience analyzing real ... This position has an on-site requirement and is not eligible for fully remote candidates. At Level ...

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Remote Math Internship information

See Washington, DC salary details

$10

$19

$26

How much do remote math internship jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for remote math internship in Washington, DC is $19.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Math Intern, and why are they important?

To thrive as a Remote Math Intern, you need a solid understanding of mathematical concepts, analytical thinking, and coursework in mathematics or a related field. Familiarity with tools like Microsoft Excel, MATLAB, Python, or statistical software is commonly expected. Strong communication skills, self-motivation, and time management are important soft skills for remote collaboration and independent work. These competencies enable interns to effectively contribute to projects, solve problems, and adapt to the remote work environment.

What is a Remote Math Internship?

A Remote Math Internship is a work experience program that allows students or recent graduates to gain practical experience in mathematics-related roles while working from a location outside of a traditional office, usually from home. Interns may assist with data analysis, research, mathematical modeling, or educational content creation, all using online communication and collaboration tools. These internships are ideal for individuals seeking flexibility and hands-on experience in applying mathematical concepts to real-world problems. Remote math internships can be found in various industries such as finance, technology, education, and research.

How do remote math interns typically interact and collaborate with their team and supervisors?

Remote math interns usually communicate and collaborate through digital platforms such as Zoom, Slack, or Microsoft Teams. Regular check-ins, both one-on-one and in group settings, help interns receive feedback and stay aligned on project goals. Collaboration often involves sharing work via cloud-based tools, participating in virtual brainstorming sessions, and contributing to team discussions. While working remotely can be challenging due to fewer in-person interactions, proactive communication and seeking feedback are key to success in this role.
What are the most commonly searched types of Remote Math jobs in Washington, DC? The most popular types of Remote Math jobs in Washington, DC are:

Data Scientist

Level Up Llc

Reston, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

Overview

About Level Up 

Level Up, LLC, a wholly-owned subsidiary of AVIAN, represents a fusion of innovation, reliability, and top-tier cyber security and IT solutions. As a Virginia-based small business with over 150 years of collective experience, we pride ourselves on providing industry-leading expertise, big data analytics, and all-source research and analysis. Our technical capabilities directly bolster our customers' objectives, from mission centers to forward-deployed operations. 

In 2021, we joined forces with AVIAN, an employee-owned business and one of America's fastest-growing private companies. With a shared commitment to resourcefulness, responsiveness, and reachability, we continue to uphold our trademark dependability and innovation, delivering exceptional services to our 80 government and commercial clients across 13 states. 

Beyond our technical and consulting prowess, we at Level Up believe in creating a positive impact within our communities. Through our charitable giving and volunteer programs, we support causes close to our hearts and inspire meaningful change. This commitment to service and community enhancement is what we call "The Level Up Way". 

Together, Level Up and AVIAN offer comprehensive solutions, blending technology and community engagement to create an exceptional partnership for our employees, customers, and community. 

Responsibilities

Using your skills as a Data Scientist, you will organize and interpret data to inform U.S. decision-makers, drive successful operations, and shape government technology and resource investments. You will work with open source data and statistical software packages, cloud services, and AI/ML technologies to find patterns and relationships in large volumes of data. You will also create scalable, high performance, and repeatable computational solutions which realize their algorithmic approaches. 

Qualifications

Required Experience, Skills, & Technologies

  • Bachelor's degree preferably in a quantitative science, engineering, or social sciences (e.g STEM) field such as:
    • Computational Social Science
    • Computer Science
    • Data Analytics
    • Economics
    • Engineering
    • Geospatial Analysis
    • Mathematics
    • Operations Research
    • Quantitative Finance
    • Statistics
  • Experience analyzing real world data through coursework, thesis research, internships, or work experience
  • Ability to analyze data in Python or another Object-Oriented Programming Language
  • Ability to effectively communicate technical concepts to a variety of audiences verbally and in writing
  • Creativity
  • Initiative
  • Integrity
  • Leadership abilities
  • Problem solving skills
  • Ability to work effectively individually and on a team.

Desired Experience, Skills & Technologies

  • Advanced degree in a data science equivalent field or sub-field
  • Experience developing, retraining, or using AI and Machine Learning packages
  • Experience working with cloud computing platforms such as AWS
  • Experience with performance scaling and working with large data challenges
  • Ability to successfully complete projects with large or incomplete data and provide solutions

Clearance Required

  • Due to the sensitivity of customer-related requirements, U.S. Citizenship is required.

  • Must possess a Top Secret/SCI security clearance with a Full Scope polygraph.
  • This position has an on-site requirement and is not eligible for fully remote candidates. 

At Level Up, LLC, we offer a comprehensive benefits package designed to support your health, financial security, and overall well-being. Our health and wellness benefits include medical, dental, and vision coverage, along with telemedicine services and a TRICARE supplement for veterans. Financially, we provide flexible spending accounts (FSA), a 401(k) plan with company contributions, and an employee stock ownership plan (ESOP). Additional perks like wellness reimbursements and referral bonuses are also available.

For insurance protection, we offer basic life insurance, accidental death and dismemberment (AD&D) coverage, disability benefits, and AFLAC supplemental insurance. In terms of life, work, and family, we provide flexible time off, paid sick leave, maternity and bonding leave, and military training leave. Tuition reimbursement and professional development opportunities are available to help you grow. We also offer pet insurance, identity protection, and life assistance programs. At Level Up, LLC, we prioritize a balanced, supportive environment that allows you to thrive both personally and professionally.

Level Up, LLC is a service-based organization. As an equal opportunity employer, our policy of business is to seek the most qualified candidate for each talent opportunity without regard to race, creed, color, sex, age, religious belief, marital status, national origin, ancestry, sexual preference, physical or mental handicap, lawful political affiliation or veteran's status.

Employment Type: FULL_TIME