Senior Data Scientist
Role overview
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
- check_circle Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
- check_circle 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.
- check_circle Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
- check_circle 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.
- check_circle 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.
- check_circle Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
- check_circle Participates in special projects and performs other duties as assigned.
- check_circle Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
- check_circle Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
- check_circle Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.
- check_circle Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles
- check_circle Bachelor’s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field
- check_circle Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI
About the company
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.
Tags & Focus Areas
About Vanguard
Client Experience Analytics (CxA) is looking for a talented Lead Data Analyst to join our team! Supporting the Institutional Investor Group, CxA aims to enhance financial well-being for all retirement participants through strategic insights and data-driven recommendations, continuously improving the institutional client experience and participant outcomes. This individual will be responsible for leading the analysis and reporting of participant behavior across the digital retirement experienc...