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Senior Data Scientist, Marketing Science
Senior Data Scientist, Marketing Science-October 2024
Malvern
Oct 13, 2026
ABOUT VANGUARD
Vanguard is changing the way the world invests with its unwavering focus on investors.
10,000+ employees
Consulting, Financial Services
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About Senior Data Scientist, Marketing Science

  Vanguard has been changing the way the world invests for over 40 years, as a company we’re committed to improving the lives of our clients. Our purpose is to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success. In doing so, our clients come first. We strive to provide exceptional service and expertly designed investment products with superior long-term performance.

  In the Marketing Science team, our goal is to empower the marketing organization to understand its impact on driving sales growth, client engagement, and client retention by leveraging advanced AI/ML techniques to measure integrated marketing effectiveness, simulate different marketing strategies, and optimize marketing budget to deliver on a positive ROI. As a Senior Data Scientist, you will play a critical role in delivering innovation efforts to build and evolve the next generation of our ads measurement solutions. The position would leverage cutting-edge marketing mix modeling, machine learning, and causal inference technologies to reshape our marketing solutions and to empower our marketing partners to make data-driven decisions.

  Core Responsibilities

  Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.

  Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.

  Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.

  Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.

  Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.

  Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.

  Serve as the go-to expert for causal inference within the team and for external collaborations

  Participates in special projects and performs other duties as assigned.

  Qualifications

  Minimum of five years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required.

  MS/PhD in statistics, economics, operations research, or a related quantitative field

  Minimum of 1 year of practical experience with applying causal inference and discovery approaches in marketing or other fields.

  Technical skills - Python, Cloud-based AI/ML platforms - preferably AWS SageMaker

  Special Factors

  Sponsorship

  Vanguard is 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.

  How We Work

  Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

  Vanguard, one of the world's largest investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests.

  This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy (https://www.vanguardjobs.com/site-privacy-policy/) to read more information and learn how to change your preferences.

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