Data Science


Data Science

What is Data Science?


Data scientists tackle voluminous data to deduce understanding by getting rid of irrelevant data noise. Data scientists optimize business decisions in areas such as data analytics, quantitative research, sales and trading, and asset management. If you want to work in data science, you will need to have a strong base in data visualization, machine learning and AI, and Python.

Sanchita Dhirwani (MFE ’20)

Quantitative Developer at Google
Sunnyvale, California

View Linkedin

As part of the Sales, Marketing & Digital Analytics Team at Capital Group, I work with sales and marketing data to provide business insights using machine learning models. As a data scientist, you will work closely with business stakeholders to understand their goals and determine how data can help achieve them. This requires analyzing large sets of data using techniques such as machine learning modeling, predictive analysis and regression analysis to develop actionable insights for the business. An expertise in statistics and programming, along with an acute business acumen, is essential to succeed in the field of data science.

Recent Employers of UCLA Anderson MFEs within this career path:

grid of logos for paypal, mufg, j.p. morgan, deutsche bank, capital group, amazon