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Remote Research Math Jobs in Memphis, TN (NOW HIRING)

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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 Memphis, TN? For Remote Research Math jobs in Memphis, TN, the most frequently searched job titles are:
What job categories do people searching Remote Research Math jobs in Memphis, TN look for? The top searched job categories for Remote Research Math jobs in Memphis, TN are:
Remote Research Math jobs near you

Data Scientist II

Federal Express Corporation

Memphis, TN • On-site, Remote

$13K/mo

Full-time

Posted 5 days ago

Job description

Under general supervision, advances' broad capabilities to use and deploy cutting edge data science and machine learning tools and methods in projects, platforms and products. Anchors current best practices by supporting the design and build of reusable data science assets. Simultaneously works to keep on the bleeding edge by understanding the very latest and most sophisticated methods and tools for grappling with extremely large scale and complex problems.

  • Applies descriptive, diagnostic, predictive, prescriptive, and ensemble modeling, statistical techniques, machine learning methods, and AI-driven approaches to analyze complex business situations and support decision making.
  • Provides recommendations to moderately complex issues through the application of data science, machine learning, Generative AI, and data engineering practices, leveraging data-driven insights to support business objectives.
  • Works in tandem with peer data scientists, engineers, and business stakeholders to develop, test, and deploy end-to-end analytical, machine learning, and AI solutions.
  • Assists in the development, evaluation, and deployment of machine learning, Generative AI, and LLM-based solutions, including experimentation, model validation, and performance monitoring.


Additional Job Description

Minimum Education:

Master's degree (or equivalent) in Computer Science, Operations Research, Statistics, Applied Mathematics, or a related quantitative field.

Minimum Experience:

At least two (2) years of professional experience applying data science (e.g., machine learning, artificial intelligence, statistical analysis), operations research (e.g., optimization, algorithms, mathematical modeling), and data analytics to reduce costs, enhance profitability, and improve customer experience. An advanced degree in a related field may be considered in lieu of some experience.


Preferred Experience:

At least two (2) years of professional experience applying data science (e.g., machine learning, artificial intelligence, statistical analysis, Generative AI), operations research (e.g., optimization, algorithms, mathematical modeling), and data analytics to improve customer experience, reduce costs, enhance profitability, and solve business problems. Experience developing or supporting end-to-end analytics and machine learning solutions is preferred.


This position is eligible for remote work and may be located anywhere within the United States excluding AK, HI and U.S. territories, however if you live within the 50 miles radius of a campus you will be required to work at a FedEx campus location several times per week.


USA: $6,168.90/mo - $13,571.58/mo, CO: $6,168.90/mo - $13,006.09/mo, CA: $6,511.62/mo - $10,898.39/mo, NJ: $6,511.62/mo - $10,418.59/mo, OH & VT: $6,511.62/mo - $10,744.16/mo, MN: $6,511.62/mo - $12,440.61/mo, IL & NV: $6,511.62/mo - $13,006.09/mo, MD, NY & WA: $6,511.62/mo - $13,571.58/mo, MA: $6,854.33/mo - $13,571.58/mo, RI: $7,539.76/mo - $12,440.61/mo, CT: $7,539.76/mo - $13,006.09/mo, DC & HI: $7,882.48/mo - $13,006.09/mo, NYC: $7,882.48/mo - $13,571.58/mo


Preferred Qualifications:

Pay Transparency:

Pay:

Additional Details:


FedEx Dataworks is an Equal Opportunity Employer including, Vets/Disability.

  • Know Your Rights
  • Pay Transparency

Dataworks does not discriminate against qualified individuals with disabilities in regard to job application procedures, hiring, and other terms and conditions of employment. Further, Dataworks is prepared to make reasonable accommodations for the known physical or mental limitations of an otherwise qualified applicant or employee to enable the applicant or employee to be considered for the desired position, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation will impose an undue hardship. If a reasonable accommodation is needed, please contact DataworksTalentAcquisition@corp.ds.fedex.com.

Employment Type: FULL_TIME

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