What can I do with a QSS degree?
QSS is an interdisciplinary program that provides its students with both technical skills, concentrated in statistics and computing, and a grounding in a social science. Alumni who have studied in QSS, which prior to 2015 was named the Program in Mathematical Social Sciences, have built on their Dartmouth careers with activities that cover the map, ranging from university teaching to research, law, business, medicine, public service, and a variety of individualized careers.
Below you will find narratives from program alumni, describing their post-Dartmouth activities. The variety of these undertakings illustrates the breadth of the QSS curriculum and the creativity of the Dartmouth students who have studied in the program.
Adam Charnin-Aker
Job Title: Assistant Director, Pro Scouting
After a couple of years in big data consulting, I now work for the Yankees with a focus on player evaluation and acquisition, among other responsibilities. Much of my work involves projecting how players will perform in the future and identifying players who can contribute to a championship roster. My time in QSS 30.01 Sports Analytics with Professor Herron and President Hanlon helped lay the groundwork for my understanding of how data can be a powerful tool in the player evaluation process when combined with what your eyes are seeing on the field. The guest speakers from around the sports world who visited our class were also very insightful and furthered my interest in pursuing a career in baseball.
Al Nafea
Job Title: Head Of Growth
In 2021, I joined LoudCrowd, a rapidly growing marketing SaaS start-up in Austin, Texas. LoudCrowd helps brands grow their presence on social media and earn more revenue out of their content creators. I report to the CEO on a number of different growth initiatives, many of which involve both quantitative and qualitative approaches to problem solving. QSS has enabled me to approach data (i.e. website SEO data, client retention numbers, sales funnel projections) and craft actionable solutions to enable accelerated growth. As one of the only employees with a rigorous background in quantitative reasoning (thanks to QSS), I have become an invaluable asset to the amazing team at LoudCrowd.
Alexander Agadjanian
Job Title: Research Associate
Since late June, I've been working as a Senior Research Support Associate at the MIT Election and Data Science Lab (MEDSL) in Cambridge, Massachusetts. The lab focuses on collecting, managing, and disseminating election data at various levels going back decades, as well assessing U.S. election administration. I use my coding and analytical skills learned through the QSS major on a daily basis. For one project, I've been creating a dataset for state office races from the 2016 election, for which I've pulled datasets from state websites, found efficient ways to turn them into usable form, and further cleaned and prepared them for release. In other cases, I've analyzed and visualized data on the quality of state-level maintenance of voter lists, as well as examined over time trends in voting wait times and what might shape these experiences for voters. Lastly, I've begun to take/audit quantitative methods courses at MIT, for which QSS's math, coding, and econometrics requirements have prepared me immensely. Apart from the job, I've continued refining several undergrad research projects in QSS-related areas, and recently presented my QSS honors thesis research at a political science conference.
Alexis Savini
Job Title: Corporate Startup Team
I'm working at Kilpatrick Townsend & Stockton LLP on their corporate startup team. KTS is mostly known for their IP and patent work, so it's interesting to be on a smaller team within the firm that is doing something different from everyone else. We work with a lot of Bay Area startups, mostly medical device companies that need help with forming a company and finding funding opportunities. So far I'm really enjoying it - the corporate team is pretty small, so I've been given a good bit of responsibility and am definitely learning a lot. I'm mostly doing a lot of formations (which is honestly just a lot of paperwork), but in the end I'm transforming a guy with an idea into an actual company, which I think is pretty cool. We work with a lot of UCSF and Stanford professors and grad students, so a lot of the technology we get to see is pretty amazing.
Andrew Wolff
Job Title: Business Analyst
I am starting in late September as a Business Analyst for McKinsey & Company in Dubai and will then move to the firm's Washington, DC office after one year. At McKinsey, I will be consulting for corporations, governments, and non-profits to help them with tasks such as improving operations, launching new product lines, or completing organizational transformations. I previously worked for McKinsey as a Winter Business Analyst Intern over Winter 2017. During that internship, I used my QSS experience in statistical analysis and data wrangling everyday, and was put in charge of the primary quantitative analysis for a public sector transformational study. With my QSS experience, I conducted my own statistical analyses and effectively communicated the results to my team and to the clients. McKinsey's quantitative focus was a big reason why I chose to return to the firm full-time, and I intend to use the skills I developed through the QSS major in my daily work.
Anne Irvine
Job Title: Senior Data Scientist
I had the incredible experience of teaching two MSS courses at Dartmouth in the Fall of 2011, and I recently completed my PhD in Computer Science at Johns Hopkins University. I have just started work as a Senior Data Scientist at RedOwl Analytics, a Baltimore-based startup that is developing a software product that performs sophisticated social network analysis for our corporate customers. My focus is on natural language processing, but our core product is very much in line with the social network analysis research and coursework that I completed as part of my MSS degree nearly ten years ago! It's amazing how impactful the MSS curriculum has been on my career thus far.
Annie Ma
Job Title: Data Reporting Intern
I just started at The Oregonian for the summer as a data reporting intern. I'm still figuring out my exact project assignments, but the first few days I've been looking into government salary data and have felt very prepared thanks to the QSS program. I think the work overall might skew a bit more towards Python and my computer science background, but the ability to think critically about data and how it might answer and reveal certain questions has certainly been an advantage in journalism that I've learned from the minor.
Annie Ma
Job Title: Educational Journalist for Associated Press
I'm a journalist covering education for the Associated Press. I rely on the quantitative data skills I learned in QSS to understand and write about the policy choices schools make and their impact on kids. Being able to understand the data that educators are relying on helps me write more clearly and authoritatively for a global audience. Because of the AP's wide reach in elections and polling, I have also been able to use my statistics and analysis skills in stories about public opinion and politics based on the data from those projects.
Arvin Kumaran
Job Title: Investment Banking Analyst
I will be working as an Investment Banking Analyst at Shea & Company in Boston, MA. Shea focuses on middle-market high growth enterprise software M&A and buy-side transactions. In this role, I will be able to utilize my QSS background in data visualization (QSS 17) and my knowledge of the power of data science to identify strong tech companies to work alongside with.
Bess Neiblum
Job Title: Business Analyst
I now work a full-time position as a business analyst with Cicero Group in Washington, D.C. after interning with the company last summer in Salt Lake City. In my position, I conduct research and synthesize the results, work with client data, and work directly with clients. I'm constantly learning, but I have a foundation for all of these skills because of my QSS degree, which not only exposed me to a wide range of data analytic and research techniques, but also taught me how to convey the findings in a compelling way. My focus on psychology and sociology within the major also taught me valuable lessons about working with people, understanding their concerns, and figuring out the best way to help. QSS is a flexible major, and I've found that it's left me with the ability to be open-minded and adaptable in my career as well.