REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Data Analyst, Senior Specialist / Data Scientist (Decision Analytics / Modeling)
XX
Data Analyst, Senior Specialist / Data Scientist (Decision Analytics / Modeling)Vanguard • United States
Jetzt Bewerben
XX

Data Analyst, Senior Specialist / Data Scientist (Decision Analytics / Modeling)

Vanguard
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

Data Analyst, Senior Specialist / Data Scientist (Decision Analytics / Modeling)
Apply (https://vanguard.wd5.myworkdayjobs.com/en-US/vanguard_external/job/Charlotte-NC/Data-Analyst--Senior-Specialist---Data-Scientist--Decision-Analytics---Modeling-_178198-1/apply)
locations
Charlotte, NC
Dallas/Ft. Worth, TX
Malvern, PA
Scottsdale, AZ
time type
Full time
posted on
Posted 16 Days Ago
time left to apply
End Date: July 1, 2026 (9 days left to apply)
job requisition id
178198
Role Summary
At Vanguard, we are advancing how data informs decision-making by developing deeper insight into how business actions drive client and operational outcomes. This role sits at the intersection of advanced analytics, product development, and business strategy, helping the organization move beyond describing what happened to understandingwhy it happenedandwhat to do next.
As a Data Scientist, you will serve as a builder and architect of a decision product that integrates causal analysis, predictive modeling, and optimization to support high-impact business decisions. You will design the analytical engine that powers this product—defining how relationships are modeled, how uncertainty is quantified, and how outputs are generated for decision-making.
This role is well suited for someone who is technically rigorous, intellectually curious, and motivated by building analytical systems that operate in real-world environments.
Key Responsibilities
Design and develop the analytical engine that underpins a decision product, including how relationships are modeled and outputs are generated
Apply causal inference techniques across both experimental and non-experimental settings, including situations where randomized testing is not feasible, practical, or cost-effective
Leverage predictive modeling and optimization approaches to support decision-making and scenario analysis
Translate complex business questions into structured analytical frameworks and scalable solutions
Build production-quality analytical components that integrate into decision systems and can be deployed in partnership with engineering teams
Ensure model outputs are robust, interpretable, and appropriately reflect uncertainty and underlying assumptions
Partner cross-functionally with product, engineering, and business stakeholders to align the analytical engine with user needs and decision workflows
Continuously evaluate and improve modeling approaches to ensure accuracy, reliability, and business impact
Qualifications
Master’s or PhD in a quantitative field such as statistics, economics, mathematics, data science, operations research, or a related discipline; or equivalent combination of education and relevant experience
5+ years experience applying advanced analytical techniques, including causal inference, predictive modeling, and/or optimization
5+ years experience using quasi-experimental or observational methods to evaluate business interventions in real-world settings
Proficiency in Python, R, or similar tools, with the ability to write clean, scalable, and production-ready code
Strong understanding of statistical modeling, inference, and data analysis
Ability to design analytical frameworks that support decision-making under uncertainty
Demonstrated ability to work effectively in cross-functional and ambiguous environments
Special Factors
Sponsorship
Vanguard is not 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.
Similar Jobs (5)
Data Analyst, Specialist
locations
2 Locations
time type
Full time
posted on
Posted 23 Days Ago
Data Analyst, Specialist
locations
2 Locations
time type
Full time
posted on
Posted 23 Days Ago
Data Scientist, Specialist
locations
4 Locations
time type
Full time
posted on
Posted 30+ Days Ago
time left to apply
End Date: June 27, 2026 (5 days left to apply)
View All 5 Jobs
About Us
Vanguard, one of the world's leading investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests.
This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to ourPrivacy Policy (https://www.vanguardjobs.com/site-privacy-policy/) to read more information and learn how to change your preferences.
Read More
  • United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.