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Engineering, Technology, Data and Physical Science

Data Science & Technology

These fields draw from techniques and theories in math, statistics, information science, and computer science to find solutions using computational and data-driven approaches.

How Can I Explore Careers in Data Science and Technology?

Data science professionals create and utilize powerful methods to collect, curate, analyze, and make discoveries from large-scale data. Opportunities are found in many industries, depending on the type of data you want to work with: finance, technology, medicine, economics, retail, marketing, and more.

Technology professionals use software, hardware and information technology (IT) as tools to identify solutions in every industry, such as healthcare, government, education, and e-commerce. The job areas below can be found in all types of agencies, from corporate giants to small start-ups, government agencies, and non-profits.

Exploratory Resources:

Sample Job Areas:

  • Data analysis/statistics: Collection, processing, and display of data to spot trends, model predictions, and make decisions
  • Data engineering and architecture: Design, building, and management of information infrastructure and architecture that analyze and process data
  • Database administration: Management of the planning, development, performance, integrity, and security of a database and troubleshooting issues
  • Geographic information systems (GIS): Use of computer systems for capturing, storing and displaying data related to positions on the earth’s surface
  • Information security: Planning and implementation of security measures to protect computer systems, networks, and data
  • Research and development: Design and development of new products, algorithms or approaches to machine learning or statistics.
  • Software engineering and development: Design, creation, testing, and maintenance of computer applications software and systems
  • Systems engineering: Development, testing, and evaluation of software, circuits, and computers using knowledge of computer science, engineering, and mathematical analysis
  • User experience and user interface design: Application of end-user research, knowledge, and psychology to build or change how a product “feels” (user experience) or how a product is laid out (user interface)
  • Web and application development: Creation and maintenance of a website's look, layout, and features using skills in graphic design and programming

Where do I find data science and technology opportunities?

Beyond general search engines like and Handshake, check out some of the links below: