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Vanguard

AI/ML Data Scientist

Vanguard

Data Scientist leading and executing analytics initiatives at Vanguard. Mentoring junior staff and applying data science techniques for strategic business solutions across various functions.

Posted 5/5/2026full-timeMalvern • Pennsylvania • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies
HadoopPythonScikit-LearnSparkSQLTableauTensorflow

About the role

Key responsibilities & impact
  • 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
  • Prepares 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 scalable data mining models and reporting protocols to identify trends and patterns in massive datasets
  • Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations
  • Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.

Requirements

What you’ll need
  • Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
  • Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field
  • Expertise in programming with Python, R, or SQL
  • Hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow)
  • Strong understanding of data pipelines, data wrangling, and statistical techniques
  • Experience in big data environments (Spark/Hadoop)
  • Familiarity with visualization tools like Tableau or Power BI.

Benefits

Comp & perks
  • Visa sponsorship available

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
predictive analyticsprescriptive analyticsdata miningstatistical modelingmachine learningdata wranglingstatistical techniquesdata pipelinesPythonR
Soft Skills
mentoringcommunicationproblem-solvinganalytical thinkingstakeholder engagementpresentation skillsresearch designmodel validationcollaborationhypothesis development