In Vanguard's Client Experience & Digital (CXD) department, our goal is to evolve and enhance our clients’ digital experience. The CXD department is organized in cross-functional journey teams, called labs, which operate in an enduring product ownership model. Each lab owns a particular journey (or experience) and seeks to drive continuous improvement within that experience.

The CXD Data Science team consists of sub-teams that align to one or more journey families, or cross-journey functions. Our Data Scientist are at the forefront of driving innovation across CXD. The Data Science team plays a critical role in consulting, influencing, and driving changes through the design and implementation of advanced analytics into solutions that deepen the understanding of Vanguard clients, inform strategic planning, and optimize business decisioning as well as operational processes.

Core Responsibilities:

Understand Vanguard’s mission and CXD’s vision of creating world-class experiences.
Work with partners from various areas to probe and understand business processes. Form hypotheses around business needs and problems. Translate requirements into analytical framework and derive solutions.
Develop deep understanding of CXD data. Leverage big data platforms and programming skills to access and prepare data for analytical consumption.
Identify and diagnose data inconsistencies and errors; document data assumptions. Ensures quality of data by implementing and improving data best practices. Provide feedback to data owners to support continuous evolution of CXD data.
Lead and execute diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Research and implement advanced AI/ML solutions. Stay abreast with development in the AI/ML community through training and self-development.
Develop advanced tools to support robust test design, execution, and analysis. Provide statistical consultation services. Serve as the analytics expert on cross functional teams for large strategic initiatives and contribute to the growth of the Vanguard analytic community.
Prepare and deliver insight presentations and action recommendations. Communicate complex analytical findings and implications to business leaders.
Understand and comply with Vanguard’s model governance policies and procedures. Contribute to the continuous evolution of model governance best practices.
Mentor and develop junior data scientists and analysts.
Participate in special projects and perform other duties as assigned.

Qualifications:

Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or a STEM field or equivalent combination of training and experience. Graduate degree preferred.
Minimum of three years’ work experience developing sophisticated statistical models and leveraging AI/ML techniques such as Neural Networks, NLP, Gradient Boosting, Random Forest, time series, and so on.
Proficiency with Python and SQL. Programming skills to access, transform, and prepare large scale data for modeling and analysis.
Experience with cloud-based AI/ML platforms such as AWS and BI platforms such as Tableau preferred.

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.

Future of Work

During the pandemic, we transitioned to a work from home model for the majority of our crew and we continue to interview, hire, and on-board future crew remotely.

As we have developed the path forward, we have taken a thoughtful approach that both maximizes the advantages of working remotely and the many benefits of coming together and collaborating in a shared workspace. We believe that in-person interactions among our crew are important for preserving our unique culture and advantageous for the personal development of our crew.

When our Crew return to the office, many will work in our hybrid model. A smaller proportion of our crew will operate in the Work from Home work model (for example, field sales crew); or in the Work from Office model (for example, portfolio managers).

The working model that your role falls into will be communicated to you in the interview process – please do ask if you are unsure. We encourage you to make the decision regarding your job interview and offer knowing which model your role will fall into. We will test and learn as our ways of working evolve and will continue to evaluate working models along the way.

Data Scientist - CX Analytics