Senior AI/ML Scientist

Blue Cross and Blue Shield of North Carolina; Wyoming (OH); 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 lead the development of complex machine learning and AI systems. The position requires a strong background in statistical methods and programming, along with a passion for exploring new AI technologies.

The ideal candidate will have at least 5 years of relevant experience or 7 years in lieu of a degree. The compensation package includes competitive salary, bonuses, and health benefits.

Qualifications

• 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.

Responsibilities

• Own delivery of large and complex machine learning and AI systems.
• Design, implement, and evaluate AI systems for production environments.
• Apply prescriptive analytics techniques to business problems.
• Lead development and testing of appropriate ML algorithms.
• Stay updated with advancements in AI and ML methods.
• Develop prototypes and proof-of-concept implementations.
• Communicate results to cross-functional groups.

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Deep Learning Algorithms

Statistical Models

Education

Bachelor's degree or advanced degree

Job description

Job Description

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.

What You Will Do

• 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.

What You Bring

• 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.

Salary Range

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

Skills

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