Vanguard

SeniorDataScientist

$165–235k ~AI est. Malvern, Pennsylvania, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Scientist at Vanguard. Skills: Data Science, Generative AI, Predictive Analytics, Machine Learning. Develop Generative AI solutions. Design RAG workflows”

What You'll Achieve.

Support data-driven decision making; Drive innovation; Inform strategic initiatives

Industry & Context.

Problems you'll solve

Deep dive diagnostics; Data inconsistencies; Data errors; Data gaps

Eligibility Requirements

No visa sponsorship

What They're Looking For.

Must Have

8 years of experience in data science, predictive analytics, or advanced statistical modeling, Bachelor’s degree in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, Master’s degree/Diploma in a related quantitative field, Expertise in programming with Python, R, Hands-on experience with machine learning libraries, Understanding of data pipelines, Understanding of data wrangling, Statistical experience in big data environments (Spark/Hadoop), Familiarity with visualization tools like Tableau or Power BI

Nice to Have

PhD preferred

What You'll Do.

Develop Generative AI solutions

Develop complex queries

Perform programming to access data

Prepare data for modeling

Execute diagnostic analytics

Execute predictive analytics

Execute prescriptive analytics

Support business decision making

Mentor junior data scientists

Mentor junior analysts

Identify data inconsistencies

Document data assumptions

Engage with stakeholders

Understand business processes

Probe business processes

Translate requirements into analytic approach

Guide research design

Guide model validation

Provide statistical consultation

Serve as analytics expert

Contribute to Vanguard analytic community

Prepare insight presentations

Deliver action recommendations

Communicate analytical findings

Communicate analytical implications

Participate in special projects

Design data mining models

Design reporting protocols

Apply data science techniques

Solve business problems

How You'll Work.

Team & Collaboration

Cross functional teams; Analytics community

Communication Scope

Insight presentations; Action recommendations; Complex findings; Business leaders

Full Job Description

**Role Summary** This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions. **Responsibilities** * Develop end-to-end Generative AI solutions leveraging LLMs and foundational AI components * Design and implement scalable RAG (Retrieval-Augmented Generation) workflows * 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. * 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 throu

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