Data Scientist

Responsibilities

Your Challenge:

• As a Data Scientist / Artificial Intelligence / Machine Learning / AI/ML Scientist, you will work with a highly innovative and vibrant team of Data Scientists, machine learning engineers, cloud engineers, and data engineers in developing the next generation AI/ML enabled Corporate Legal and Risk solutions for Vanguard.
• You will apply your analytics, artificial intelligence, and machine learning knowledge to create foundations for the next generation of intelligent tools for our business partners.
• This work will transform how Legal and Risk programs are structured. With great freedom to innovate, you will play a key role in world-class research that will drive the future of Vanguard's artificial intelligence and machine learning.
• You will make a difference by leading and innovating new AI based systems and services that power our business units.
• You will team up with business stakeholders to prioritize innovation ideas and work with other data scientists and engineers to develop and deliver breakthrough solutions.
• You will be challenged to be influential and make a positive difference on a global scale, working on a team that is focused on AI/ML and model product development.
• Strong communication skills are essential to deliver your message globally across various stakeholders/teams with diverse backgrounds and focus areas spanning research, development, engineering, business, and management.
• You will be working in a very agile, dynamic environment leading/supporting ongoing activities while starting new ones.
• Therefore, success in this role requires excellent multitasking and time management skills. We look to you to surprise us in building breakthrough AI-enabled systems leveraging modern AI techniques to create value from the data collected and generated by our base systems. These AI enabled systems and services will allow us to provide highly capable systems to achieve business objectives and stay ahead of the bad actors.
• You will apply your advanced data analytics, artificial intelligence/machine learning, Gen-AI, and Graph-ML knowledge and experience to interact with stakeholders, identify new problems and opportunities, develop innovative propositions, contribute to intellectual property, and build and pilot first-of-its-kind model products.

Core Responsibilities

• Lead AIML (including GenAI and Graph-ML) solutions development, prioritizing areas for exploration and improvement, and reviewing in-development models for quality as they are being trained.
• Prioritize AI features, models, and controls, engaging with product leaders and serving as AIML subject matter expert to drive tangible business outcomes
• Design and manage the model quality process, including both automated pipelines and manual review.
• Evaluate new technologies including vendor solutions to drive best practices in incorporating third-party technologies in a responsible manner
• Industry and Academic Awareness: Stay up-to-date with the latest developments in around AI and associated technologies in both academia and industry, integrating relevant advancements into our AIML strategy.
• Business partner alignment: Work closely with business partners, external partners, and other cross functional teams to align on AIML requirements and show sense of urgency in delivering insights.
• Technical Implementation: Translate research findings into practical solutions, exploring novel techniques, algorithms, and approaches that can be applied to real-world challenges. developing and optimizing AIML models and systems for real-world applications.
• Effective Communication: Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders, fostering a culture of knowledge sharing and learning.
• Participate in special projects as required.

Qualifications

• MS/Ph.D. in Computer Science, Machine Learning, Operations Research, or a related field
• 3+ years of NLP Graph-ML, or GenAI implementation experience in the industry including experience building, scaling, and optimizing training and inferencing APIs for neural networks
• 5+ years of coding experience in languages such as Python, PySpark,
• Strong exposure to open source/commercial LLM's through technologies such as Hugging Face, OpenAI, etc..
• Strong communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
• Experience working in cross-functional teams and a track record of balancing technical decisions with business objectives.

• Client facing/consulting experience
• Experience in IT
• Contributions to AI/ML community through publications, open source contributions, articles, etc..

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.