Careers & Internships

Classroom to Career 

Government, business, law, academia, non-profits— just about any sector you can think of demands specialized and applied quantitative skills.  Browse these pages for information on the different pathways available to QTM majors, career outcomes of our existing alumni, and resources that QTM and Emory provide to get you from classroom to career. 

 

QTM Career Navigator

QTM staff and faculty seek to assist students with targeted internship and career updates, job search tips, professional devlopment opportunities, and more through our QTM Navigator, a focused repository of resources on our website, and real-world expert perspectives through our periodic networking events. 

Emory Career Services

We work closely with Emory's Career Center to offer students a comprehensive list of internship and employment opportunities, career counseling, resume writing, and more. Click here to view opportunities on Emory's Handshake website.

What can students do with QTM majors?

Government

Agencies in the Federal, State and Local Government need quantitatively skilled individuals to help prevent waste, fraud, and abuse; combat cyber-attacks and safeguard sensitive information; use business intelligence to make better financial decisions; and improve defense systems and protect soldiers on the ground. To do this, they need to sort through complex information.

Best fit QTM path

  • QSS - Any (to match particular branch domain)
  • BBA + QSS
  • PPA - Public Policy
  • AMS - Applied Math & Statistics

Job title

  • Social Science Research Analyst
  • Data Analyst
  • Research Analyst
  • Data Scientist

Salary Overview

Mean base salary for a US Government Data Scientist: $95K

Range: $70K-121K
source: PASYA, updated Jan 10, 2018

Employers

Federal Agencies
  • NASA
  • CIA/FBI
  • CDC

.

State Agencies
  • Consumer Protection
  • Corrections Department
  • Travel & Tourism

.

Other
  • Local government agencies
  • Federal Reserve Bank

Health/Medicine

Used wisely, big data has the potential to help physicians make better decisions across the board – from personalized treatments to preventive care. Data permeates the entire healthcare ecosystem, from research - where open data sets are fueling drug discovery - to daily life with wearable devices, to the patient experience where machine learning is providing effective diagnosis, to ongoing care where health apps make it possible for physicians to see patients virtually, to prediction and prevention where health data is allowing doctors to build better patient profiles.

Best fit QTM path

  • QSS - Biology, Biological Anthropology, NBB, Psychology
  • BBA + QSS
  • PPA - Public Policy
  • AMS - Applied Math & Statistics

Job title

  • Healthcare Data Analyst
  • Data/Research Analyst
  • Actuary

Salary Overview

  • Mean base salary for a Healthcare Data Analyst: $70K

    Range: $54K-89K
    source: Glassdoor, updated Feb 7, 2018

  • Mean base salary for a Healthcare Data Scientist: $121K

    Range: $87K-158K
    source: Glassdoor, updated Sep 10, 2013

Employers

For-profit
  • Biotechnology – Biogen, Gilead
  • Pharmaceuticals – AbbVie, Pfizer, Novartis
  • Other – St. Jude, Athenahealth

.

Non-profit & Government
  • CDC
  • Kaiser Permanente
  • Doctors Without Borders

Business

Finance, Banking, Insurance

Best fit QTM path

  • QSS – Economics, Informatics, Int'l Studies, Cultural/Ethnic Studies
  • BBA + QSS
  • AMS - Applied Math & Statistics

Job Title

  • Price/Risk Analyst
  • Financial Analyst
  • Fraud Investigator

Salary overview

  • Actuarial Analyst $63K - $93K
  • Fraud Investigator $35.5K - $85.0K

Employers

Capital One, Sun Trust, J.P Morgan, AIG, Humana

MANUFACTURING


Best fit QTM path

  • QSS – Any
  • BBA + QSS
  • AMS - Applied Math & Statistics

Job Title

  • Business Analyst
  • Operations Analyst
  • Quality Data Analyst
  • Systems & Data Analyst

Salary overview

  • Data Analyst (Ford) $71K - $84K
  • Business Analyst (Coca-Cola) $52K - $145K

Employers

Ford, Boeing, Coca-Cola, Texas Instruments

RETAIL, TRAVEL, TECHNOLOGY

Best fit QTM path

  • QSS – Humanities, Social Sciences
  • BBA + QSS
  • AMS - Applied Math & Statistics

Job Title

  • Market Researcher
  • Revenue Manager
  • Data Analyst
  • Merchandise Planner

Salary overview

  • Market Research Analyst (Google) $51K - $136K
  • Revenue Management Analyst (American Airlines) $46K - $96K

Employers

Target, Home Depot, Delta, American, TripAdvisor, Google, Microsoft, Amazon, Walmart, Gap, CVS

Non-Profit

There is a need to collect, process and analyze an enormous amount of data from a staggering variety of sources. With limited resources, nonprofits must maximize efforts that are likely to succeed. With fundraising in particular, a strategic review of field-wide data significantly helps organizations target proposals to well-aligned, appropriate foundations. Data science can also be leveraged to improve the quality of services provided by non-profit agencies.

Best fit QTM path

  • QSS - Any (to match particular branch domain)
  • PPA - Public Policy
  • AMS - Applied Math & Statistics

Job title

  • Policy Analyst
  • HR Analyst
  • Data Strategist
  • Data Integrity Manager

Salary Overview

  • Mean base salary for a Policy Analyst: $55,800

    Range: range $40K - $81K
    source: Payscale, updated Feb 11, 2018

  • Mean base salary for a Non-profit Research Analyst: $60.5K

    Range: range $49K - $68K
    source: Glassdoor, updated Apr 18, 2011

Employers

  • Disaster Relief (American Red Cross, Catholic Relief Services, World Vision, Humanitarian OpenStreetMap Team)
  • Healthcare (Affinity Health Plan, City of Hope, Orange Regional Medical Center, Children's Healthcare of Atlanta, Planned Parenthood)
  • Housing Equality (United Neighborhood Houses, Habitat for Humanity, Monarch Housing Associates, Atlanta Housing Authority)
  • Others: Religiously Affiliated Services, Schools, Colleges, and Universities, Workforce Education & Training

Example career profiles for QTM majors

Data-Driven Decision Maker

These tend to be higher level positions where data is leveraged to inform strategic and operational decisions. These jobs require some of the same foundational skills as data scientists, but they apply the skills in different ways.

Skills

  • Analytical: Frame industry problems as analytical problems and draw insights from data and other sources to create unique solutions
  • Interpersonal/Leadership: Effectively communicating/negotiating with – and tactfully directing – a wide variety of staff
  • Management: Employing requirements planning, strategic business process modeling, traceability and quality management techniques
  • Written & Verbal Communication: Translating tech-speak into language that management can understand
  • Technical Expertise: General data science programming and statistical knowledge
  • Business Acumen: Understanding how individual processes and technologies relate to the whole of the business; monitoring industry trends and predicting new developments

Requirements

Typically advanced degrees (MA, MS, MBA) OR
Significant work experience

Demand

Number of postings in 2015: 851,242
Projected 5-yr growth: 14%
Estimated postings for 2020: 967,412
Represents 36% of all Data Science related postings
Average Salary: $98,688

Associated Job Titles

Chief Data Officer
Chief Information Officer
Human Resources Manager
Marketing Manager

Functional Analyst/Researcher

Functional analysts require more general data science skills in addition to business intelligence skills. Utilize data and analytical models to inform specific functions and business decisions. In many cases, these roles require a mix of deep domain-specific expertise and general competence across a broad range of functions – the so-called “T-shaped” skill set.

Skills

  • Analytical: Ability to ask relevant, specific questions and define the business problem, then extract actionable insights
  • Written & Verbal Communication: Effectively articulate a cohesive story from the data that addresses the identified problem
  • Technical Expertise: General data science programming, such as SQL, Python, R
  • Domain Knowledge: Must not only have knowledge of a specific functional domain – such as Human Resources or Marketing – but also must possess project management skills and financial planning/budgeting skills

Requirements

Quantitative Undergraduate degree (entry level roles)
Some require Masters/MBA (management level roles)
Specific domain experience/knowledge
Programming skills

Demand

Number of postings in 2015: 770,441
Projected 5-yr growth: 17%
Estimated postings for 2020: 901,743
Represents 33% of all Data Science related postings
Average Salary: $98,688

Associated Job Titles

Actuary
Business Analyst
Compensation/Benefits Analyst
Operations Analyst
Marketing Researcher/Analyst

Technical Data Analyst/Scientist

These are the most technical roles in the market. Those in these roles create sophisticated analytical models used to build new datasets and derive new insights from data. They require proficiency with a large range of specialized analytical methods and tools.

Skills

  • Analytical: Identify and develop methodologically reproducible approaches for analyzing data, and develop predictive models that feed decision-making
  • Written & Verbal Communication: Communicate findings through visualizations and convey a cohesive data-driven story
  • Technical/Statistical Expertise: Require skills on the vanguard of data-driven technologies and methods, may include machine learning, Apache Hadoop, JAVA, data mining, data modeling, data visualization, and others. In addition, generalized data science skills like SQL, Python, and R are necessary

Requirements

Quantitative Undergraduate degree (Analyst roles)
Some require advanced degrees (Scientist roles)
Advanced programming skills
Advanced statistical knowledge

Demand

Number of postings in 2015: 172,672
Projected 5-yr growth: 19%
Estimated postings for 2020: 205,725
Represents 8% of all Data Science related postings
Average Salary: $82,263

Associated Job Titles

Data Analyst
Systems Analyst
Biostatistician
Data Scientist

What are experts saying about data science in their industry?

Government

L-3 Data Tactics: Dr. Nathan Dannenman, Data Scientist

Business

Adobe Software Systems: Joe Walker, Senior Consultant

IBM: Felecia Kornegay, Client Manager

Ernst & Young: Nicole Miller, Manager in Quantitative Economics and Statistics

 

Law

The Emory Law School: Dr. Sue Payne, Executive Director, Center for Transactional Law and Practice

 

Academia

Anthropology: Dr. James Rilling, Associate Professor

Biostatistics & Bioinfromatics: Dr. Howard Chang

Economics: Dr. Christopher Curran, Associate Professor

Political Science: Dr. Jennifer Gandhi, Associate Professor

Psychology: Dr. Irwin Waldman, Professor

Non-Profit

Georgia Partnership for Excellence in Education: Dr. Dana Rickman, Director of Policy and Research