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Telecommute Quantitative Modeling Jobs (NOW HIRING)

Staff Data Scientist

San Francisco, CA · On-site +1

$250K - $275K/yr

Use empirical measurements, develop quantitative and machine learning models to forecast losses and ... Part-time telecommuting is an option. Hybrid work from Sofi offices in San Francisco, CA.

Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote ... similar quantitative fields. Experience developing and deploying models related to recommender ...

Sr. Analysts

$96K - $98K/yr

Technical environment: quantitative analytics, multivariate regression, time-series modeling ... 100% telecommuting permitted. (*Bachelor's degree in Analytics, Statistics, Data Science ...

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How much do telecommute quantitative modeling jobs pay per year?

As of Jun 6, 2026, the average yearly pay for telecommute quantitative modeling in the United States is $129,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $138,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Telecommute Quantitative Modeling jobs? Cities with the most Telecommute Quantitative Modeling job openings:
What are the most commonly searched types of Quantitative Modeling jobs? The most popular types of Quantitative Modeling jobs are:
What states have the most Telecommute Quantitative Modeling jobs? States with the most job openings for Telecommute Quantitative Modeling jobs include:

Marketing Data Science Advisor

Federal Express Corporation

Collierville, TN • On-site, Remote

Other

Posted 12 days ago


Job description

The individual will provide expertise and leadership in handling vast amounts of data, enterprise analytics, statistical modeling, and AI/ML initiatives. They will utilize their knowledge of customer data, market dynamics, and internal business processes to develop analytical solutions for complex business problems. Creates and executes analytical solutions from concept to production, communicating results to diverse audiences, and providing thought leadership in advanced modeling and analysis. Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Works on multiple complex assignments concurrently. Makes advanced use of current and emerging technologies and advanced use of data, statistical and quantitative analysis, explanatory and high complexity predictive modeling, and fact-based management to evaluate trends and develop actionable insights and to drive recommendations to business partners and management. Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. Provides consultation to management on a regular basis and formally prepares and presents recommendations to leadership. Mentors fewer senior staff. Perform other duties as assigned. 


Requirements:

Master's degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research plus 3 years of experience in the job offered or 3 years' work experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role required. The employer will alternatively accept a Ph.D. in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research in lieu of a Master's degree plus 3 years of experience. The position requires: Advanced descriptive, diagnostic, predictive and prescriptive modeling knowledge and skills. Strong problem-solving abilities. Analytical/modeling language knowledge. Advanced statistical analysis knowledge, and other quantitative analysis of complex business situations. Ability to communicate highly complex information in an understandable manner to both technical and non-technical audiences at all levels. Strong collaboration and project leadership skills. Ability to mentor lower levels. Two (2) of those years of experience or coursework should be with the following skills (skills can be gained concurrently with education): computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, PowerBI, Spotfire, etc. will be considered equivalent. Directly related advanced degrees may offset experience requirements.

Position allows for telecommuting from home within commuting distance of Collierville, TN.  

EEO Statement

Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. 

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act


E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)