Manager, Data Science

• Posted 1 day ago • Updated 1 day ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Training
  • Human Resources
  • Policies and Procedures
  • Decision-making
  • Product Engineering
  • Presentations
  • Data Science
  • Analytical Skill
  • Python
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Cloud Computing
  • Amazon Web Services
  • Artificial Intelligence
  • Machine Learning (ML)
  • Statistics
  • Computer Science
  • Operations Research
  • Applied Mathematics
  • Economics
  • Finance
  • Collaboration

Summary

Responsibilities:
  • Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
  • Owns complex data science initiatives to support data-driven business decision making. Design and deploy scalable AI/ML solutions that solve real business problems and drive measurable outcomes.
  • Partners with product, engineering and business stakeholders to translate needs into elegant, data-driven solutions and ensure delivery alignment while holding the bar of quality and impact.
  • Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Supports the continuous evolution and strategy of Vanguard's data science capabilities. Participates in special projects and performs other duties as assigned.

Qualifications:
  • Minimum of five years of related work experience in data science or analytical roles. Experience utilizing statistical and machine learning methods required.
  • Advanced Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and their AI services and tools.
  • Proven ability to align AI/ML solutions with business objectives and communicate technical concepts to non-technical stakeholders. Excellent collaboration skills with cross-functional teams.
  • MS/Ph.D. degree in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or a related field.

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24333559
  • Posted 1 day ago
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