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 contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.

How We Support Our Teammates 

Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.

The target salary range for this position is $200,000.00 - $250,000.00 annually.

The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/. 

 

We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at HR@Ryansg.com 

 

The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.