Data Scientist II



Collect the insights to stand for investors

At Vanguard, our mission is to help investors meet their financial goals, and that starts with providing the analytical insights they need. The strategic use of data is important to helping our business develop new capabilities and solutions. As a Data Scientist at our Center for Analytics & Insights (CAI), you'll com bine analytical and innovative ways to pursue complex and strategically important problems. We have a rich array of data available to us and wealth of challenges to offer you. Make it count.

Requirements

In This Role You Will:

  • Lead meaningful analytic projects that provide deep insights into client needs and behavior and, ultimately, offer the best chance for investment success
  • Identify ways of demonstrating data to address challenges and opportunities and, through sophisticated analysis, formulate insights that improve the way we do business
  • Develop subject matter expertise and use it to guide business partners and leaders in the interpretation and use of analytic solutions for business issues
  • Strengthen the business and help support clients by using data to describe and model the outcomes of investment and business decisions


Impact

Reimagine the investment experience

Your real passion for data, along with your ability to communicate complex ideas through storytelling and visualization, will supply to the development of new ways of doing business. You'll collaborate with a high performing, cross-disciplinary team including advanced data analysts, data engineers, consultants, and market researchers-all backed by Vanguard's sophisticated modeling and data management tools. If you're driven to lead projects that uncover innovative ways of investing, you could launch a dynamic career, helping to serve over twenty million clients, worldwide and transforming the way our industry operates. Invest your skills for the benefit of our clients, and we'll invest in your future.

Qualifications

What it Takes:

  • Graduate degree (ideally a PhD) in a quantitative/analytical field such as Data Science, Machine Learning, Mathematics, Statistics, Economics, Computer Science, Engineering, Operations Research, Physics or other relevant scientific field
  • A minimum of five years of relevant professional experience in dynamic analytical roles
  • Deep understanding and experience of building models using Deep Learning, Machine Learning and Optimization methods
  • Strong proficiency in Python, R, Spark (Scala, PySpark) and data visualization tools such as D3.js and Tableau


Special Factor

Vanguard is not offering visa sponsorship for this position.

About Vanguard

We are Vanguard. Together, we're changing the way the world invests.

For us, investing doesn't just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose - and that's how we've become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.

We want to make success accessible to everyone. This is our opportunity. Let's make it count.

Inclusion Statement

Vanguard's continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: "Do the right thing."

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard's core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose.

Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.


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