Data Analyst, Specialist

The Vanguard Group; Malvern (Chester County); On-site; USD 120,000 - 180,000; Full time

Job summary

The Vanguard Group in Malvern, PA seeks a data scientist to turn data into decisions by building models and communicating results to stakeholders. You’ll own clean components and collaborate with senior scientists and cross-functional partners to connect outputs to business value.

You will work on wrangling data, validating models, and helping deploy solutions in production while growing technical depth and business awareness within an AI‑native analytics community.

Qualifications

• 3+ years of data science / ML experience.
• Bachelor’s degree in a quantitative field; grad degree preferred.
• Proficiency in Python and SQL; comfort wrangling real data.
• Solid foundation in statistical methods and model validation.
• Exposure to cloud environments and standard tooling.

Responsibilities

• Explain methods and results clearly to technical and non-technical teammates.
• Build well-scoped models and analyses.
• Wrangle and prepare data; diagnose inconsistencies and gaps.
• Contribute to production; monitor models with engineers.
• Run experiments and interpret the results.
• Use AI coding and analysis assistants to speed work.
• Learn and contribute to an AI-native analytics community.

Skills

Data science

Machine learning

Python

SQL

Data wrangling

Model validation

Education

Bachelor's degree in statistics / math / CS

Tools

Git

Jupyter

AWS/Azure/GCP

Job description

Role Summary

In this role, you will help turn data into decisions by combining strong technical execution with growing business awareness and communication skills. Working alongside senior scientists and cross-functional partners, you will contribute to solving real business problems and learn how analytics connects to outcomes.

You’ll own well‑defined components— a model, a feature pipeline, an analysis— while developing the ability to understand stakeholder needs, ask the right questions, and explain your work clearly so others can act on it. The problems will often arrive partially framed; your role is to execute rigorously while building the judgment to connect technical outputs to business value.

This is a hands‑on, growth‑oriented role on cross‑functional teams where you’ll build both technical depth and the communication skills needed to become a trusted analytics partner over time.

What You’ll Do

Explain your work clearly to technical and non‑technical teammates. Communicate methods, results, and limitations so findings are understood, trusted, and usable in decision‑making.

Build well‑scoped models and analyses. Develop and validate models on defined problems such as feature engineering, model fitting, calibration, and validation with guidance on approach and standards.

Wrangle and prepare data. Access, transform, clean, and document large‑scale data; identify and diagnose inconsistencies and gaps.

Contribute to production. Help deploy and monitor models alongside MLE and engineering, learn the discipline of keeping a live model healthy.

Run experiments others design. Execute designed experiments and analyses correctly and interpret the results.

Use AI to work faster. Apply AI coding and analysis assistants to accelerate your own work, while learning to evaluate their output critically.

Learn the practice. Absorb standards and patterns from senior teammates and contribute to a growing, AI‑native analytics community.

Core Qualifications

• 3+ years of data science / ML experience
• Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, Economics, Analytics, or a related quantitative field— or an equivalent combination of training and experience. Grad degree preferred.
• Working proficiency in Python and SQL and comfort wrangling real, messy data.
• Solid foundation in statistical and machine learning methods and an understanding of model validation.
• Exposure to cloud environments (AWS, Azure, or GCP) and standard tooling (e.g., Git, Jupyter).