Data Scientist Specialist

AgileGrid Solutions; United States; On-site; USD 130,000 - 190,000; Full time

Job summary

Vanguard is seeking a highly skilled Data Scientist to join its analytics team in the United States. You will lead complex data analysis projects, employing advanced statistical, predictive, and prescriptive analytics to inform strategic decisions and improve operational efficiency.

You will collaborate with stakeholders to translate requirements into actionable insights, develop innovative models, and mentor junior data scientists in a collaborative learning environment.

Qualifications

• 5+ years in analytical roles with data wrangling, programming and modeling.
• Proficiency in Python, R or SQL for data access, transformation and analysis.
• Experience with machine learning techniques and statistical methods.
• Bachelor's degree in Analytics, Applied Mathematics, Economics, Statistics, or related field; graduate degree preferred.

Responsibilities

• Develop complex queries and transform large datasets for statistical modeling.
• Lead diagnostic, predictive, and prescriptive analytics projects and mentor junior members.
• Identify data inconsistencies, document assumptions, and address data gaps to ensure integrity.
• Collaborate with stakeholders to translate business requirements into analytical approaches.
• Design testing, model validation, and provide statistical consultation to cross-functional teams.
• Prepare presentations with actionable recommendations for senior leadership.
• Contribute to Vanguard's analytics community and special projects.

Skills

Data wrangling

Programming

Statistical modeling

Python

R

SQL

Machine learning

Communication

Problem solving

Education

Bachelor's degree in Analytics, Applied Mathematics, Economics, Statistics, or related field

Graduate degree preferred

Job description

About the Company

Vanguard is a renowned global investment management company committed to helping individuals and institutions achieve their financial goals. With a mission to put clients' interests first, Vanguard offers a wide range of innovative investment products and services designed to deliver long-term value. The company prides itself on its client-centric approach, transparency, and a culture of continuous improvement. Operating across multiple regions, Vanguard fosters a collaborative environment that encourages innovation, integrity, and professional growth. Its dedication to excellence and responsible investing has established Vanguard as a trusted leader in the financial industry.

About the Role

We are seeking a highly skilled Data Scientist to join Vanguard's analytics team. In this role, you will lead complex data analysis projects, utilizing advanced statistical, predictive, and prescriptive analytics to inform strategic business decisions. You will work closely with internal stakeholders to understand business challenges, develop hypotheses, and translate requirements into actionable insights. Your expertise will support the development of innovative models and solutions that enhance Vanguard's offerings and operational efficiency. As a senior member of the team, you will also mentor junior data scientists and analysts, fostering a collaborative environment focused on continuous learning and development.

Qualifications

• Minimum of five years of relevant experience in analytical roles, with a strong background in data wrangling, programming, and statistical modeling.
• Proficiency in programming languages such as Python, R, or SQL for data access, transformation, and analysis.
• Experience with machine learning techniques and statistical methods required.
• Bachelor's degree in Analytics, Applied Mathematics, Economics, Statistics, or a related field. A graduate degree is preferred.
• Strong problem-solving skills, attention to detail, and the ability to communicate complex findings effectively to non-technical stakeholders.

Responsibilities

• Develop complex queries and perform extensive programming to access, transform, and prepare large datasets for statistical modeling.
• Lead and execute diagnostic, predictive, and prescriptive analytics projects to support data-driven decision making within the organization. Mentor and develop junior team members.
• Identify and diagnose data inconsistencies and errors, document data assumptions, and proactively address data gaps to ensure data integrity.
• Collaborate with internal stakeholders to understand business processes, develop hypotheses, and translate business requirements into structured analytical approaches.
• Design and guide testing, research, and model validation processes. Provide statistical consultation and serve as an analytics expert on cross-functional teams for strategic initiatives.
• Prepare and deliver insightful presentations, communicating complex analytical results and actionable recommendations to senior leadership and key stakeholders.
• Participate in special projects, contribute to the growth of Vanguard's analytics community, and perform other duties as assigned.

Benefits

Vanguard offers a comprehensive benefits package designed to support the well-being and professional growth of its employees. This includes competitive salary packages, health and dental insurance, retirement plans, and paid time off. Employees also have access to continuous learning opportunities, professional development programs, and a collaborative work environment that values diversity and inclusion. Vanguard promotes a healthy work-life balance through flexible working arrangements and a supportive organizational culture committed to employee satisfaction and development.

Equal Opportunity

Vanguard is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe that a diverse workforce enhances our ability to serve our clients effectively and innovate continuously. All employment decisions are made based on qualifications, merit, and business needs.