Manager, Data Science

Posted Yesterday
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5 Locations
In-Office
Senior level
Fintech
The Role
Manages a data science team delivering diagnostic, predictive, and prescriptive analytics, particularly for conversational AI projects. Develops and validates advanced statistical and machine learning models, investigates data quality issues, guides research and testing, and translates analytical findings into strategic recommendations. Partners with business leaders across marketing, supply chain, and economic research while advancing analytics capabilities, researching emerging methodologies, and hiring, coaching, and evaluating team members.
Summary Generated by Built In

Job Description Summary  

This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making in conversational AI Projects. Supports the continuous evolution and strategy of Vanguard's data science capabilities. It applies advanced data science techniques to uncover trends from large datasets and inform strategic decisions across diverse business areas such as marketing, supply chain, and economic research.  

  

Core Responsibilities  

  • Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making in conversational AI Projects. Creates alternative model approaches to assess complex model design and advance future capabilities.  
  • Manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of Vanguard's data science capabilities.  
  • 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.  
  • Executes operational plans to achieve department objectives. Collaborates with department or functional heads in planning, developing, and executing near-term goals.  
  • Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.  
  • Participates in special projects and performs other duties as assigned.  
  • Designs and refines data mining architectures, analytical protocols, and statistical reporting methods to identify actionable trends in large and complex datasets.  
  • Applies advanced data science principles and emerging technologies to develop models that inform strategic decisions across functions such as marketing, supply chain, and economic forecasting.  
  • Conducts research to evaluate cutting-edge analytics methodologies, aiming to enhance organizational capabilities and maintain competitive advantage  
  • Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.  

  

Qualifications  

  • Minimum of five+ years related work experience in Data science roles.  
  • Expertise in NLP, Generative and Agentic Solutions.
  • Deep understanding of Transformer Architectures and experience in improving performance of Agents  
  • Programming skills to access, transform and prepare large scale data for machine learning modeling.  
  • Experience utilizing statistical and machine learning methods.  
  • Experience in creating explainable ML solutions and attribution methodologies.  
  • Undergraduate degree in Engineering, Analytics, Applied Mathematics, Economics, Statistics or related field of study or equivalent combination of training and experience.  
  • Graduate degree preferred.  

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

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.

Skills Required

  • At least five years of related experience in data science roles
  • Expertise in natural language processing, generative solutions, and agentic solutions
  • Deep understanding of transformer architectures and experience improving agent performance
  • Programming skills for accessing, transforming, and preparing large-scale data for machine learning modeling
  • Experience using statistical and machine learning methods
  • Experience creating explainable machine learning solutions and attribution methodologies
  • Undergraduate degree in engineering, analytics, applied mathematics, economics, statistics, or a related field, or equivalent training and experience
  • Graduate degree

Vanguard Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.

  • Retirement Support Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
  • Wellbeing & Lifestyle Benefits Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
  • Affordable Benefits Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.

Vanguard Insights

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The Company
HQ: Malvern, PA
20,252 Employees
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.

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