Position Summary
The Lead Machine Learning Specialist will work with a team to conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa's strategic products and business. This role represents an exciting opportunity to make key contributions to Ryan Specialty strategic vision as a world-leading data-driven company.
What will your job entail?
Job Responsibilities:
• Build needed data transformations on structured and un-structured data.
• Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
• Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models.
• Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
• Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
• Contribute to development and adoption of shared predictive analytics infrastructure.
• Serve as a subject matter expert in Artificial Intelligence and Machine Learning to collaborate with key leaders and teams.
• Lead on projects and direct junior staff on resolving problems and coaching as needed.
• Lead, Coach and Mentor Junior staff.
Work Experience and Education:
• Bachelor's degree in Data Science, Computer Science, or related discipline.
• 12 years experience in Machine Learning, AI or related field.
• Knowledge of basic algorithms and object-oriented and functional design principles.
• Knowledge of data structures, data modeling, and software architecture.
• Knowledge of math, probability, statistics, and algorithms.
• Knowledge of machine learning frameworks
Skills:
Technical/Functional Skills:
• Artificial Intelligence (AI)
• Machine Learning
• AI Prompt
• AI/ML Design
• Model Performance
• Leadership
• Coding
• Algorithms
• Data Structures
• NLP
Behavioral Skills:
• Self-starter
• Communication
• Analytical
• Problem Solving
Job Responsibilities:
Build needed data transformations on structured and un-structured data.
Build and experiment with modeling and scoring algorithms. This includes development of custom algorithms as well as use of packaged tools based on machine learning, data mining and statistical techniques.
Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, A/B testing of models.
Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
Contribute to development and adoption of shared predictive analytics infrastructure.
Serve as a subject matter expert in Artificial Intelligence and Machine Learning to collaborate with key leaders and teams.
Lead on projects and direct junior staff on resolving problems and coaching as needed.
Lead, Coach and Mentor Junior staff.
Work Experience and Education:
Bachelor's degree in Data Science, Computer Science, or related discipline.
12 years experience in Machine Learning, AI or related field.
Knowledge of basic algorithms and object-oriented and functional design principles.
Knowledge of data structures, data modeling, and software architecture.
Knowledge of math, probability, statistics, and algorithms.
Knowledge of machine learning frameworks such as
Licenses & Certifications:
N/A
Skills:
Technical/Functional Skills:
Artificial Intelligence (AI)
Machine Learning
AI Prompt
AI/ML Design
Model Performance
Leadership
Coding
Algorithms
Data Structures
NLP
Behavioral Skills:
Self-starter
Communication
Analytical
Problem Solving
#OLR
Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contribution