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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science, particularly in NLP, Generative Solutions, and Transformer Architectures, while effectively managing teams and collaborating with stakeholders to drive strategic analytics initiatives.
Highest-signal resume keywords
Data Science ManagementNLP ExpertiseTransformer ArchitecturesMachine Learning ModelingStatistical Consultation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsPredictive AnalyticsPrescriptive AnalyticsStatistical ReportingExplainable ML SolutionsAttribution MethodologiesData Mining ArchitecturesModel ValidationProgramming SkillsDeep-Dive Analytics
Soft Skills
Team LeadershipStakeholder EngagementCommunication SkillsPerformance ManagementCollaboration
Industry Keywords
Data ScienceMachine LearningStatistical MethodsAnalytics MethodologiesBusiness ProcessesOperational PlansResearch DesignModel DesignData InconsistenciesPerformance Improvement
About the role
Key responsibilities & impact- Manage a team of data scientists responsible for diagnostic, predictive, and prescriptive analytics projects
- Support the continuous evolution and strategy of Vanguard's data science capabilities
- Perform deep-dive analytics and develop alternative model approaches for complex model design
- Identify and diagnose data inconsistencies and errors; document data assumptions and fill data gaps
- Engage internal stakeholders to understand business processes, develop hypotheses, and translate requirements into analytic approaches
- Guide test design, research design, and model validation; provide statistical consultation
- Serve as analytics expert on cross-functional teams for large strategic initiatives
- Execute operational plans and collaborate with department or functional heads on goals
- Prepare and deliver insight presentations and action recommendations to business leaders
- Design and refine data mining architectures, analytical protocols, and statistical reporting methods
- Apply advanced data science principles and emerging technologies to develop strategic decision-making models
- Research cutting-edge analytics methodologies
- Hire, evaluate, supervise, guide, and train crew; set performance standards and review performance
Requirements
What you’ll need- 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 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 creating explainable ML solutions and attribution methodologies
- Undergraduate degree in Engineering, Analytics, Applied Mathematics, Economics, Statistics, or related field, or equivalent combination of training and experience
- Graduate degree preferred
Benefits
Comp & perks- Visa sponsorship offered
- Hybrid working model enabling flexibility, in-person learning, collaboration, and connection
- Professional learning and development opportunities
- Compensation decisions aligned with applicable Human Resources policies and procedures