As a Data Scientist, Senior Specialist, you will lead complex analytics initiatives that influence strategic business decisions across the organization. You'll combine advanced statistical modeling, machine learning, and business acumen to uncover insights, solve challenging problems, and help shape the future of data-driven decision making.
Key Responsibilities
- Lead the design, development, and delivery of large-scale analytics and data science projects, ensuring the quality, accuracy, and reliability of models, methodologies, and outputs.
- Apply advanced diagnostic, predictive, and prescriptive analytics to identify opportunities, solve business challenges, and drive measurable outcomes.
- Develop innovative modeling approaches and evaluate emerging techniques to enhance analytical capabilities and improve business performance.
- Partner with senior leaders and stakeholders to frame complex business questions, translate objectives into analytical strategies, and generate actionable recommendations.
- Assess data quality, identify gaps or inconsistencies, and establish sound assumptions to ensure insights are built on a strong foundation.
- Guide research design, experimentation, model validation, and statistical best practices across high-impact initiatives.
- Serve as a trusted analytics advisor on cross-functional teams and contribute to the advancement of the broader data science community.
- Communicate complex analytical findings in a clear, compelling manner through executive presentations, visualizations, and strategic recommendations.
- Mentor and develop junior data scientists and analysts, fostering a culture of continuous learning and innovation.
- Support additional strategic initiatives and special projects as needed.
What We're Looking For
- 10+ years of experience in analytics, data science, statistics, machine learning, or a related quantitative field.
- Strong expertise in data preparation, transformation, and analysis of large, complex datasets.
- Hands-on experience applying statistical modeling, machine learning, and advanced analytical techniques to real-world business challenges.
- Proven ability to influence decision-making through insightful analysis and effective communication with senior stakeholders.
- Experience leading complex analytical projects and mentoring data science talent.
Education
- Bachelor's degree in Analytics, Applied Mathematics, Statistics, Economics, Computer Science, Data Science, or a related quantitative discipline, or an equivalent combination of training and experience.
- Advanced degree (Master's or PhD) preferred.
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.
Skills Required
- Minimum ten years of related analytical work experience
- Experience with data wrangling and programming to access, transform, and prepare large-scale data for statistical modeling
- Experience using statistical and machine learning methods
- Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics, or a related analytical field, or equivalent training and experience
- Graduate degree
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
