Job Title: Research Fellowship

After graduation I started working at Stanford's Regulation, Evaluation, and Governance Lab (RegLab). At the RegLab I study the ways that the government deploys machine learning and artificial intelligence to decide how benefits and burdens are distributed in society. In particular, my work studies how racial disparities arise in the algorithmic selection of IRS audits. My work builds directly on my experiences as a QSS student, from the data visualization skills and statistical reasoning abilities I gained in my coursework to the analytical practice I gained doing research with QSS faculty.

Job Title: Associate Consultant At Keystone Strategy

I graduated in 2016 before QSS began to grow. I had a great experience taking Data Visualization (QSS 16) on a whim my senior year with Professor Horiuchi. I took this class because it was recommended to me by a friend, who ad told me that learning R was a great decision she made in college to prepare her for her career in investment banking. The skills I learned in QSS 16 are by far my most used skills in my job as an Associate Consultant at Keystone Strategy, a consulting firm where I started working in 2016 after graduation. Keystone specializes in strategy and economic consulting in the tech industry and my office is in Boston. At Keystone, my role has ranged from valuing the user base of a social media company to analyzing the source code for a videogame publisher. Working with large tech companies in a consulting role, my Keystone colleagues and I are constantly met with the challenge of handling large amounts of data and presenting insights derived from it in a compelling way. The QSS department's focus on these challenges prepared me well to perform in my career after graduating from Dartmouth.

Job Title: Applied Data Scientist

I'm working as an Applied Data Scientist on the health care team at Civis Analytics. I use programming languages that I learned through my QSS minor like R and Python in my everyday work, and I constantly apply the skills I learned from my QSS data visualization class to present data in an understandable format. My work mainly consists of analyzing large amounts of data to answer client questions, such as predicting who is likely to lack health insurance. The work is both challenging and engaging, and I wouldn't be where I am without my QSS minor.

Job Title:  Data Scientist

I'm currently a Data Scientist at Apple on the Cloud Infrastructure Business Organization team, where I help analyze compute and storage infrastructure. I regularly use R and apply the skills from my QSS data visualization class to present data in a beautiful, digestible format. Prior to my current role, I worked as the Lead Data Scientist/Researcher at a media start-up called Protocol, where I helped write data journalism pieces and conducted analyses of China's technology industry. I also worked on the Biden 2020 presidential campaign as a data scientist and was previously a Senior Applied Data Scientist at Civis Analytics on the political and healthcare teams. Across all of these roles, ranging across different industries and domains, I've been able to leverage skills I learned from my QSS classes. I am immensely grateful to my professors at Dartmouth for passing on their valuable knowledge.

Job Title: Venture Capital And Entrepreneurship

The MSS program equipped me with a rigorous data-driven framework to think about exciting yet puzzling empirical questions in the business world. I am currently a PhD student at MIT focusing on venture capital and entrepreneurship — a career path I decided to pursue after doing a fascinating networks-based research project in a MSS class. I'm so thankful for the MSS experience at Dartmouth!

Job Title: Baseball Operations Strategist

Shortly after graduating, I started my career in the Baltimore Orioles' front office as their Baseball Operations Strategist. In this position, I work with people across all baseball departments, including scouting, analytics, and player development. My primary responsibilities include providing my input on roster moves, player evaluation, and ensuring our compliance with Major League rules. My QSS degree has proven to be quite beneficial to my work with the Orioles. Through the major, I gained a deeper understanding of the statistics that underlie team decisions and also developed the necessary technical skills to perform in this role. I would highly recommend QSS 17 (Data Visualization), QSS 20 (Modern Statistical Computing), and, of course, President Hanlon and Professor Herron's QSS 30.01 (Sports Analytics) to any prospective QSS major who may be interested in embarking on a career in sports.

Job Title: Data Analyst

I now work as a Data Analyst for DraftKings in Boston. My day to day role requires drawing insights from large amounts of data, a skill that I developed through my QSS major at Dartmouth. Particularly, the technical skills that I learned in  Data Visualization (QSS 17) have proven incredibly useful. Much of my current role requires creating views and dashboards that present business data to key stakeholders within the company, and the coursework in QSS 17 helped prepare me for visualizing data in an accurate, easily interpretable, and visually pleasing manner. My role has also included a number of long-term, open-ended projects where I've investigated potential hypotheses to various business problems. The numerous data-driven projects that I completed in QSS classes at Dartmouth prepared me well for this aspect of the job, both in terms of the analytical problem solving skills needed to approach the problem and the technical skills needed to work with the data.

Job Title: ERP & CRM software administration at FreshAir Sensor

My junior summer, I was hired as an intern at FreshAir Sensor in Lebanon, NH, working with several Dartmouth alumni and professors. I spent 10 weeks applying the knowledge from my QSS courses – working with the company's ERP & CRM software, cleaning data for API connections, and using the skills I picked up in my foundational QSS courses to create reports for the senior executive team. I continued my internship part-time throughout my senior year and made the transition to the full-time team shortly after graduation. Now, my day-to-day consists of ERP & CRM software administration, prototyping client-facing data reports, and more.

It's because of my QSS education that I get to take on new projects right from our senior team that challenge me to critically define problems and outline data-driven solutions. The variety of applied data skills I gained through the QSS program means my role at FreshAir will continue to evolve for the foreseeable future, which makes every day different and exciting.

Outside of my full-time job, I use the research and expertise I developed while writing my thesis (a game-theoretic approach to the theater industry) and other papers in my economic game theory focus as an independent theatre data analyst: I help small theaters better understand their audience and identify patterns in their data. My goal is to make the business aspects of running a theater easier for the kinds of theatres that made me the person I am today.

Coming into Dartmouth, I knew I wanted a career exploring theater, entrepreneurship, and technology. As a graduate, my QSS major has helped make this a reality.

QSS (focus in Economics – Game Theory) & Theater Double Major

Job Title: Carbon Data

I'm on the carbon data team at Watershed, a startup that helps companies like Airbnb and Everlane measure and act on their carbon emissions. In practice, this means I look at a lot of business data, write SQL code to standardize it, and interpret the resulting carbon footprints. I'm grateful for the QSS program for giving me the data computation skills to get a foothold in industry at Mastercard, from which I was able to jump to doing work that matters to me at Watershed.

Job Title: Sports Analytics

I may be a bit of an outlier here in that I neither majored nor minored in QSS and actually only took one QSS class during my entire time at Dartmouth. That one class was Sports Analytics (the first time it was ever offered), co-taught by Professor Herron and President Hanlon during my senior fall (15F). Personally, I came into the term dabbling with the thought of exploring a career in sports analytics and was hoping that this class would help me decide if that was a path I'd realistically enjoy. The course ended up providing clarity on that front and being more rewarding than I could have ever expected.

While attending the Sloan Sports Analytics Conference at the end of the term with Professor Herron and President Hanlon, I was fortunate to connect with some representatives from the Cleveland Indians (MLB). After a few conversations and interviews, I was offered a business analytics position working with their Business Strategy team. A year and a half of honing my analytical skills with the Indians (and dealing with the ups and downs of a World Series loss) prepared me to pursue my dream of working for my favorite sports team, the Tampa Bay Lightning (NHL). The foundational knowledge I gained from the Sports Analytics class, coupled with my experience with the Indians, allowed me to land the business analytics job I'd been hoping for. Now working as a Data Systems Analyst with the Lightning, I'm using advanced statistical modelling to aid key business processes, such as dynamic ticket pricing and sales forecasting.

Working for a professional sports team has always been a career dream of mine, but I'd be lying if I said I expected it as my first job out of college. However, I have never felt out of place. Today I'm using the same analytical techniques, probabilistic modelling, and data handling practices that I picked up in QSS. Beyond the content I learned during the ten weeks of Sports Analytics, I'm even more grateful for the doors it has opened for me. Despite having taken only one QSS class, I can safely say that the department has changed my life for the better.