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

Naval Sea Systems Command

SCIENTIST

Indian Head, MD · On-site +1

$143K - $197K/yr

Summary You will serve as a SCIENTIST in the Research & Engineering Department (E), Research ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

Skyline Scientific Inc

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

Conduct advanced analytics research across multiple remote sensing platforms, sensors, and ... Master's degree in Image Science, Engineering, Applied Physics, Applied Mathematics, or in related ...

10a Labs

Red Teaming Fellowship

Washington, DC · On-site +1

$32.50/hr

Fellows work alongside researchers, engineers, and subject-matter experts to identify ... Remote work (based in the continental U.S.) * Flexible schedule, up to 20 hours per week ...

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Remote Research Math information

What are Remote Research Math jobs?

Remote Research Math jobs involve conducting mathematical research, analysis, and problem-solving from a location outside of a traditional office or lab, typically via the internet. Professionals in these roles may work for universities, research institutions, or private companies, collaborating with teams and publishing findings remotely. Tasks can include developing mathematical models, analyzing data, and applying advanced math to solve real-world problems. These jobs require strong mathematical skills, self-motivation, and the ability to communicate findings effectively in a virtual environment.

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

To thrive as a Remote Research Mathematician, you need a strong background in advanced mathematics, analytical problem-solving, and typically a graduate degree in mathematics or a related field. Proficiency with mathematical software such as MATLAB, Mathematica, or Python, and familiarity with collaborative tools for remote teamwork are often required. Strong written communication, self-motivation, and critical thinking are crucial soft skills for effectively conducting and presenting independent research. These skills enable rigorous analysis, clear dissemination of findings, and successful collaboration in a remote research environment.

What is the difference between Remote Research Math vs Remote Data Analyst?

AspectRemote Research MathRemote Data Analyst
Required CredentialsAdvanced degrees in mathematics or related fieldsBachelor's or master's in statistics, data science, or related fields
Work EnvironmentResearch-focused, often academic or R&D settingsBusiness or tech industry, analyzing datasets
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, consulting firms, tech companies
Common Search & Comparison IntentUnderstanding research roles in mathAnalyzing data in business contexts

Remote Research Math involves advanced mathematical research, often in academic or R&D settings, requiring higher-level degrees. Remote Data Analysts focus on interpreting data to inform business decisions, typically with a bachelor's or master's degree. While both roles analyze data, Research Math emphasizes theoretical and complex problem-solving, whereas Data Analysts focus on practical data interpretation for organizations.

What are some common challenges faced by professionals in remote research math roles, and how can they be addressed?

Remote research math professionals often encounter challenges such as collaborating effectively with team members across different time zones and maintaining clear communication on complex problems. To overcome these, it's essential to use collaborative digital tools, schedule regular video meetings, and document progress thoroughly. Additionally, setting structured working hours and frequent check-ins can help maintain momentum and foster a sense of teamwork, even when working independently. Proactively seeking feedback and sharing draft work also ensures alignment and productivity.
What are popular job titles related to Remote Research Math jobs in Washington, DC? For Remote Research Math jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Research Math jobs in Washington, DC look for? The top searched job categories for Remote Research Math jobs in Washington, DC are:
Remote Research Math jobs near you
AI/ML Research and Development Intern

AI/ML Research and Development Intern

The Pennsylvania State University

Reston, VA • On-site, Remote

$15.50 - $20.75/hr

Part-time

Posted 24 days ago

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

We are seeking graduate students with artificial intelligence/ machine learning (AI/ML) experience to join Visualization and Decision Support Division of the Applied Research Laboratory (ARL) at Penn State. looking to support our mission to discover, demonstrate, transition, and educate.Interns will have the opportunity to work on cutting-edge AI technologies, participate in a Kaggle-style competition, and develop solutions to problems in computer vision and geospatial understanding.

Students selected will serve as active, hands-on, contributing members of the research staff at ARL. As part of this position, the candidate may:

  • Work within an agile development environment with other developers, scrum master, and product owners to scope, develop, and deliver quality software solutions.
  • Contribute to the research and development of unique algorithmic solutions for a wide array of sponsor requirements, with a focus on machine learning and artificial intelligence.
  • Contribute to the development, testing, and transition of front and back-end software applications to various IT environments.
  • Support machine learning model development using tools and technologies such as: PyTorch, Pandas, PostgreSQL, AWS, Docker and similar technologies.
  • Collaborate with cross-functional teams to integrate machine learning models into existing systems and develop new ones to meet specific project needs.

Students studying Computer Science, Electrical Engineering or Mathematics are encouraged to apply. Must have a bachelors degree and be enrolled in a masters or higher level degree program

Experience in machine learning is preferred.

Successful candidates will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. This is a paid internship located at either State College, PA or Reston, VA. Relocation and housing are not provided.

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).

FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates topossess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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About Pennsylvania State University

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Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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