Senior AI/ML Scientist

Blue Cross and Blue Shield of North Carolina

1d•Hybrid

About The Position

Serve as the senior AI/ML scientist to identify, research, and develop transformational predictive, prescriptive, and Generative AI (GenAI) solutions that translate structured and unstructured data into sound organizational decisions. Senior AI/ML scientist will combine statistical expertise, programming skills, and data science knowledge to create impactful self-learning applications and collaborate with multidisciplinary teams to integrate AI technologies into real-world systems and solutions to achieve business goals.

Requirements

Bachelor's degree or advanced degree (where required)
5+ years of experience in related field.
In lieu of degree, 7+ years of experience in related field.
Artificial Intelligence (AI)
Benchmarking
Best Practices Development
Data Analysis
Data Science
Data Visualization
Deep Learning Algorithms
Machine Learning (ML)
Machine Learning Techniques
Predictive Algorithms
Prescriptive Analytics
Reinforcement Learning
Statistical Models
Statistics

Responsibilities

Own delivery of large and/or complex machine learning (ML), deep learning (DL), and Generative AI (GenAI) systems with self-learning capabilities that can adapt and evolve over time.
Design, implement, and evaluate artificial intelligence (AI) systems that can be used in production environments to meet business needs.
Apply prescriptive analytics techniques such as optimization, recommendation systems, and reinforcement learning to business problems.
Lead in the development and testing of appropriate ML algorithms, design & conduct experiments, collect and analyze data, and optimize performance of ML algorithms.
Stay updated with the advancements in artificial intelligence, machine learning, and generative AI methods and adapt new methods to effectively solve business problems.
Benchmark against existing machine learning methods and analyze results to identify strengths, weaknesses, and areas for improvement.
Develop prototypes and proof-of-concept implementations to demonstrate the feasibility and potential of new AI technologies including Generative AI.
Lead consultation sessions with business partners to distill the business needs and provide technical guidance on predictive and prescriptive AI approaches, ensuring alignment with business goals.
Drive continuous improvement by experimenting with novel techniques and refining existing models.
Leverage deep knowledge of software engineering principles in constructing sophisticated ML models and refining existing systems.
Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups.