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Remote Quantitative Social Science Jobs in Florida

College Math Tutor

Miami Beach, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Hialeah, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Miramar, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Tallahassee, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Tampa, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Gainesville, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Miami, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Orlando, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Fort Pierce, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Cooper City, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Sunrise, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

College Math Tutor

Doral, FL · Remote

$18 - $40/hr

Guides students through interpreting data sets, constructing logical arguments, solving optimization problems, and applying mathematics to social sciences and business. Emphasizes quantitative ...

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Science, Engineering, Economics, or another quantitative discipline. * 5+ years of experience ...

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Science, Engineering, Economics, or another quantitative discipline. * 5+ years of experience ...

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Showing results 1-20

Remote Quantitative Social Science information

What is the highest paying social science job?

In social science fields, roles such as data scientists, quantitative analysts, and research directors often have the highest salaries, especially when working in private sector or consulting firms. These positions typically require advanced statistical skills, programming knowledge, and experience with data analysis tools, and they can offer six-figure compensation depending on experience and location.

What are the key skills and qualifications needed to thrive as a Remote Quantitative Social Science professional, and why are they important?

To thrive as a Remote Quantitative Social Science professional, you need a strong background in statistics, data analysis, research methods, and typically an advanced degree in a social science discipline. Proficiency with statistical software such as R, Stata, or SPSS, and experience with survey platforms and data visualization tools, are highly valued. Excellent written communication, critical thinking, and self-motivation are crucial soft skills for collaborating remotely and translating data insights effectively. These skills ensure rigorous research, accurate data-driven conclusions, and effective collaboration in a distributed work environment.

How do remote quantitative social scientists typically collaborate with team members across different locations?

Remote quantitative social scientists often work closely with interdisciplinary teams, including data analysts, subject matter experts, and project managers, using digital collaboration tools like Slack, Zoom, and cloud-based platforms. Effective communication is crucial, as much of the work involves sharing data insights, co-authoring research papers, and coordinating on statistical analyses. Regular virtual meetings, clear documentation, and shared repositories help ensure alignment and smooth project progress, despite geographic dispersion. Building strong working relationships remotely can be challenging at first, but consistent communication and proactive engagement usually lead to successful team outcomes.

What can you do with a quantitative social science degree?

A degree in quantitative social science prepares individuals for roles such as data analyst, research scientist, policy analyst, or social science researcher, where skills in statistical analysis, data modeling, and programming are essential. Graduates often work in government agencies, research institutions, or private companies, utilizing tools like SPSS, R, or Python to interpret social data and inform decision-making.

What is the difference between Remote Quantitative Social Science vs Remote Data Analyst?

AspectRemote Quantitative Social ScienceRemote Data Analyst
Required CredentialsAdvanced degrees in social sciences, statistics, or related fieldsBachelor's or master's in data analysis, statistics, or related fields
Work EnvironmentResearch-focused, often in academia, think tanks, or social research firmsBusiness, marketing, or tech companies analyzing data for decision-making
Industry UsageSocial sciences, policy research, academiaBusiness, finance, healthcare, marketing

Remote Quantitative Social Science involves analyzing social data to understand societal trends, often requiring advanced degrees and research expertise. Remote Data Analysts focus on interpreting data to support business decisions, typically with a bachelor's or master's degree. While both roles involve data analysis, the social science role emphasizes societal insights, whereas data analysts serve business needs.

How to make 70000 a year from home?

A remote quantitative social science professional can earn $70,000 annually by leveraging skills in data analysis, statistical modeling, and programming with tools like R or Python. Building a strong portfolio, gaining experience, and working for organizations that offer remote roles or consulting opportunities can help achieve this income level.

What is a remote quantitative social science job?

A remote quantitative social science job involves conducting research and analysis in fields like sociology, psychology, economics, or political science using statistical and mathematical methods, all while working from a remote location. Professionals in these roles collect and analyze numerical data to understand social phenomena, trends, and behaviors. They often use software tools for data analysis and collaborate with teams virtually. These positions are ideal for those with strong analytical skills and a background in social sciences and statistics.

How to make $1000 a week remote?

A remote quantitative social science professional can earn $1000 a week by leveraging specialized skills in data analysis, statistical modeling, and programming with tools like R or Python. Building a strong portfolio, gaining experience in freelance platforms, and securing contracts with organizations needing research or data consulting can help achieve this income level.
What are popular job titles related to Remote Quantitative Social Science jobs in Florida? For Remote Quantitative Social Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Quantitative Social Science jobs in Florida look for? The top searched job categories for Remote Quantitative Social Science jobs in Florida are:
What cities in Florida are hiring for Remote Quantitative Social Science jobs? Cities in Florida with the most Remote Quantitative Social Science job openings:
Intermediate Decision Science Analyst - P&C Claims Analytics

Intermediate Decision Science Analyst - P&C Claims Analytics

USAA

Tampa, FL • On-site, Remote

$77K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

51st of 170 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

This role, within defined guidelines and framework, provides decision support for the Claims business area. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and inspire change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

Data Enablement

Auto Non-Injury Analytics

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Phoenix, AZ, Plano, TX, Colorado Springs, CO, Chesapeake, VA or Tampa, FL.

Relocation assistance is not available for this position.

What you'll do:

  • Leverages intermediate business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy.
  • Applies scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
  • Translates recommendation into communication materials to effectively present to colleagues for peer review and senior/lead analysts.
  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
  • Supports identifying and gathering the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
  • Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
  • Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience.
  • 2 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline.
  • Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive fact-based decision-making.
  • Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

What sets you apart:

  • 2+ years' recent USAA Claims experience
  • Successful completion of a real-world analytical project, either on-the-job or through a case study or hackathon
  • Experience presenting analytical concepts, including data visualizations, to a non-technical audience
  • Experience with SQL/Snowflake
  • Experience with data analysis using Python, R, and/or Tableau
  • US military experience gained through military service or gained as a military spouse / domestic partner

Compensation range: The salary range for this position is: $77,120 - $147,390.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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