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Data Science Program

Columbian College of Arts & Sciences

Professional Resources, Networking Groups, Job Boards & Fellowships

Data science students chatting

Data Science graduate students and alumni should reach out to career coach Melissa Feuer via Handshake for questions about job applications. 

 

Job Boards

Some employers offer recruiting opportunities for members of diverse populations, including women, persons of color, LGBTQIA+ persons, and persons with disabilities. GW's Diversity, Equity and Community Engagement Office also has a wealth of resources including tools for students. 

 

Data Science Networking Groups and Associations

  • Data Visualization DC (DVDC) strives to create great events where everyone’s experiences reflect the questions: Is Data Visualization a science or an art? Do good data visualizations lead us into foregone conclusions? Does 'Big' data depend on your perspective? Do visualizations help us communicate? Data viz is unique because we are so visual, begging us to create events with a visual focus.

  • Data Science DC is a nonprofit professional group that meets monthly to discuss diverse topics in predictive analytics, applied machine learning, statistical modeling, open data, and data visualization. Our members are professionals, students, and others with a deep interest in these fields and related technologies. Meeting topics are varied and range from tutorials on basic concepts and their applications, to success stories from local practitioners, to discussions of tools, new technologies, and best practices. All are welcome -- to attend, to meet others, and to present their work! Data Science DC is a Program of Data Community DC, Inc.

  • The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field. WiDS started as a one-day technical conference at Stanford in November 2015. Five years later, WiDS is a global movement that includes a number of worldwide initiatives including conferences, datathons, workshops, podcast series, and educational outreach programs. 

  • Data Community DC (DC2) is an nonprofit 501(c)(3) organization connecting and promoting the work of data professionals in the National Capital Region by fostering education, opportunity, and professional development through high-quality, community-driven events, resources, products and services.

  • DC Natural Language Processing (DC-NLP) is for anyone working in (or interested in) Natural Language Processing. Our Washington, D.C. area programs will be an opportunity for folks to network, give presentations about their work or research projects, learn about the latest advancements in our field, and exchange ideas or brainstorm, but we'll also meet online so this meetup is for everyone! Topics may include computational linguistics, machine learning, text analytics, data mining, information extraction, speech processing, sentiment analysis, and much more.

  • The American Association for the Advancement of Science (AAAS) seeks to advance science, engineering, and innovation throughout the world for the benefit of all people. Membership is open to anyone who shares our goals and belief that science, technology, engineering, and mathematics can help solve many of the challenges the world faces today. 

  • The National Consortium for Data Science (NCDS) functions as a mechanism to help the U.S. take advantage of the ever-increasing flow of digital data in ways that result in new jobs and industries, advances in healthcare, transformative discoveries in science, and competitive advantages for industries. The group connects diverse communities of data science experts to support a 21st century data-driven economy by building data science career pathways, bridging the gap between data scientists in the public and private sectors, and supporting open and democratized data.

 

Fellowships, Competitions, and Scholarships

  • RMDS Lab aims to affect change in the scientific and business world through Big Data and Artificial Intelligence. RMDS Lab has announced a data science competition, Brace for Impact: Creating a Dashboard for Responsible Investing Using Machine Learning. Contestants are challenged with collecting data sets and creating a dashboard that can help potential investors to review the social and environmental impacts of companies in which they might invest. 

  • The Washington Statistical Society (WSS) offers a Student Travel Award for a local area student in a degree program in the areas of statistics, data science, survey methodology, or related survey research disciplines. 

  • The Data Science for Social Good Fellowship is a full-time summer program to train aspiring data scientists to work on machine learning, data science, and AI projects with social impact in a fair and equitable manner. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, criminal justice, sustainability, public safety, workforce development, human services, transportation, economic development, international development, and more.

  • The Women in Data Science (WiDS) initiative aims to inspire and educate data scientists worldwide, regardless of gender, and to support women in the field.

  • Rewriting the Code supports and empowers college, graduate and early career women in tech, through intersectional communities, mentorship, industry experience and educational resources, to become the next generation of engineers and tech leaders.

  • RTC Black Wings is an exciting new Rewriting the Code initiative for Black women undergrads in tech.

  • Latinas de RTC was created for Latina women in technology and engineering majors to share experiences and advice, have a familiar community within the tech industry, and gain support from having a group of women with shared interests.

 

Salary Resources