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Blue Cross and Blue Shield of North Carolina is seeking a Senior AI/ML Scientist to lead the development of machine learning systems that support organizational decision-making. The ideal candidate will possess strong programming skills and extensive experience in AI, machine learning, and data science, combining these to create impactful solutions.
This role involves designing AI systems for production, applying analytics to business challenges, and leveraging statistical expertise. Candidates should have at least 5 years of related experience or 7 years without a degree. The position offers a competitive salary and benefits.
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.
At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs. Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.
*Based on annual corporate goal achievement and individual performance.
$143,616.00 - $229,786.00
Artificial Intelligence (AI), Benchmarking, Best Practices Development, Data Analysis, Data Science, Data Visualization, Deep Learning Algorithms, Machine Learning (ML), Machine Learning Methods, Predictive Algorithms, Prescriptive Analytics, Reinforcement Learning, Statistical Models, Statistics