Senior AI/ML Scientist: GenAI & Prescriptive Analytics Lead

Blue Cross and Blue Shield of North Carolina; South Carolina; On-site; USD 143,616 - 229,786; Full time

Benefits offered by this job

Annual Incentive Bonus

401(k) with employer match

Paid Time Off (PTO)

Competitive health benefits

Wellness programs

Job summary

Blue Cross and Blue Shield of North Carolina is seeking a Senior AI/ML Scientist to research and develop cutting-edge AI solutions to aid organizational decision-making. Candidates should have significant experience in machine learning, and artificial intelligence systems, and be adept at collaborating with multidisciplinary teams.

The role includes designing impactful self-learning applications and requires a solid background in statistical analysis and programming. Compensation ranges from $143,616.00 to $229,786.00, reflecting market standards and personal qualifications.

Qualifications

• 5+ years of experience in a related field.
• In lieu of degree, 7+ years of experience in a related field.

Responsibilities

• Own delivery of complex machine learning and AI systems.
• Design and implement AI systems for production environments.
• Apply prescriptive analytics techniques to business problems.
• Lead the development and testing of ML algorithms.
• Stay updated with advancements in AI and ML methods.
• Develop prototypes for new AI technologies including Generative AI.
• Consult with business partners to provide technical guidance.

Skills

Artificial Intelligence (AI)

Data Science

Machine Learning (ML)

Deep Learning Algorithms

Reinforcement Learning

Statistical Models

Data Visualization

Data Analysis

Education

Bachelor's degree or advanced degree in a related field

Job description

Blue Cross and Blue Shield of North Carolina is seeking a Senior AI/ML Scientist to research and develop cutting-edge AI solutions to aid organizational decision-making. Candidates should have significant experience in machine learning, and artificial intelligence systems, and be adept at collaborating with multidisciplinary teams.

The role includes designing impactful self-learning applications and requires a solid background in statistical analysis and programming. Compensation ranges from $143,616.00 to $229,786.00, reflecting market standards and personal qualifications.