Senior Data Scientist, Boston

Why did you choose Analysis Group?
I love the diversity of teammates and case work I encounter at Analysis Group. The people here are very smart yet humble, and I feel like I’m constantly learning from their example.
What do you work on at Analysis Group?
As a data scientist, I work on cases that require dealing with large, complex, and often unstructured data. My work involves constructing pipelines that manage the ingestion, transformation, analysis, and presentation of conclusions drawn from these data. A common thread in my work is the application of cutting-edge machine learning and big data algorithms, which offer insights that elude conventional statistical methods.
What new skills have you learned since joining AG?
My machine learning and programming skillset has expanded far beyond what I learned at university and internships. I have also refined some of my soft skills, such as managing case teams, client communication, and mentoring teammates.
What new experiences have you had at AG?
I’ve been able to apply my skillset in finance, machine learning, and programming in a real-world, professional environment. The challenges of working with the flaws of real data has made me more appreciative of both the limitations and the advantages of academic models.
What is it like to work on a case?
Cases at AG are always a team effort. There is a sense that an individual succeeds when their team succeeds. Case teams often comprise people from a variety of backgrounds, each of whom brings a unique perspective tinted by their own experiences and skills.
What is it like to work in your office? What is the culture there?
The Boston office is very open and welcoming. There are frequent team lunches in the office and everyone is quite friendly and easy to talk to.
What do you think about AG’s collaborative culture? How does this benefit your work? Clients?
I think collaboration is indispensable to the firm’s success. Everyone is encouraged to voice their view regardless of position or seniority. It feels like being on a sports team: Everyone has each other’s backs, and we all work toward a shared goal. The end result is that we produce vastly superior work that has gone through several rounds of internal debates and improvements.
What do you do when you’re not working?
I’m learning to play Bohemian Rhapsody on the piano, and I play soccer (aka football) and video games.
How do you find a suitable work/life balance?
I try to anticipate my future stream of work and communicate frankly with my case teams when I need help.
Upamanyu Pathare

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