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Remote Research Math Jobs in Saint Louis, MO (NOW HIRING)

Senior Accountant - Audit

Saint Louis, MO · On-site +1

$71K - $90K/yr

Demonstrate the ability to efficiently research audit topics of intermediate complexity * Assist in ... Strong analytical, mathematical and critical thinking abilities * Shows ambition, drive, and takes ...

Senior Accountant - Tax

Saint Louis, MO · On-site +1

$79K - $102K/yr

Perform tax research * Analyze tax notices and draft responses * Assist in tax planning and ... Strong analytical, mathematical and critical thinking abilities * Shows ambition, drive, and takes ...

Remote Research Math information

What is a remote research math job?

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?

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 Saint Louis, MO? For Remote Research Math jobs in Saint Louis, MO, the most frequently searched job titles are:
What job categories do people searching Remote Research Math jobs in Saint Louis, MO look for? The top searched job categories for Remote Research Math jobs in Saint Louis, MO are:

Spectral Imagery Scientist

U.S. Department of Defense (DOD)

Saint Louis, MO • Remote

$51K/yr

Full-time

Posted 7 days ago


U.S. Department Of Defense rating

7.9

Company rating: 7.9 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense


Job description

Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information using advanced scientific methodologies, algorithms, and software tools. They collaborate with analysts to understand intelligence issues, provide scientific results to conduct intelligence production, and educate stakeholders on product capabilities. They develop, test, an

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Experience utilizing existing workflows or assisting in the development of techniques to process imagery, raster, and/or 3D data
Academic or professional experience applying fundamental concepts of imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing
Experience applying established remote sensing analytic techniques to assist in solving scientific or operational intelligence problems
Experience contributing to the development of written reports or briefings to communicate findings
Experience working with team members to complete assigned tasks
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A that included at least 24 semester hours in Physical Science and/or related Engineering Science, plus experience that involves processing, analyzing, and exploiting multibanded imagery to extract intelligence and geospatial information, or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years.
PHYSICAL REQUIREMENT: Near visual acuity of 20/60 or better with or without corrective lenses

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Academic or professional experience researching analytical techniques in published literature related to remote sensing
Knowledge of scripting languages (such as Python, R, or Matlab) for data processing or analysis
Familiarity with or academic exposure to how artificial intelligence, machine learning computer vision, and/or automated feature extraction concepts are applied to remote sensing
Experience assisting with the operation, calibration, or testing of satellite, airborne, and/or ground imaging systems and chemical analysis instruments
Knowledge of standard remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)

Education:Employment Type: OTHER

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