Senior Data Scientist

Cherry Bekaert Recruiting & Staffing Services; United States; Remote; USD 170,000 - 210,000; Full time

Job summary

Cherry Bekaert is seeking a Senior Data Scientist (Generative AI & Machine Learning) to design, build, and deploy production-grade AI/ML solutions across enterprise applications. This remote, full-time role focuses on Generative AI, RAG pipelines, NLP, and knowledge graphs, delivering impact across healthcare analytics and decision-making.

The ideal candidate has 5+ years in production AI, strong Python, and experience with LLMs, RAG, and LangChain in scalable systems.

Qualifications

• 5+ years of hands-on experience delivering AI/ML solutions in production.
• Strong Python programming with modern AI/ML frameworks.
• Experience with LLMs, Generative AI, RAG architectures, prompt engineering, and agentic AI systems.

Responsibilities

• Design and develop AI/ML solutions for large-scale enterprise applications.
• Build and deploy production-ready ML and Generative AI systems.
• Collaborate with engineering, product, and business stakeholders.
• Apply analytical and problem-solving skills to ambiguous business challenges.
• Develop scalable Python-based AI/ML applications and services.
• Evaluate modern AI techniques including LLMs, RAG pipelines, and agentic workflows.
• Contribute to system architecture, experimentation, and model optimization.
• Mentor junior team members and promote best practices.
• Stay current with evolving AI technologies and frameworks.

Skills

Python

LLMs

RAG

NLP

LangChain

Pandas

Scikit-learn

AI/ML frameworks

Production AI

Education

Advanced STEM degree

Tools

AWS Bedrock

SageMaker

ECS

Serverless

Job description

Senior Data Scientist (Generative AI & Machine Learning)

Remote - Full-Time | AI / ML | Data & Analytics

Base Salary ~170K to 210K + 15% bonus

Cherry Bekaert is partnering with a rapidly growing global data and analytics organization undergoing a major AI transformation initiative across its business and product ecosystem. This organization is investing heavily in advanced AI, machine learning, and data science capabilities to build production-grade solutions that directly impact decision-making within the healthcare space.

Their centralized Data Science organization is seeking a strong Senior Data Scientists to help design, build, and deploy cutting-edge AI/ML solutions across a broad range of enterprise and client-facing applications.

This is an opportunity to work on highly visible initiatives involving:

• Generative AI
• Agentic AI frameworks
• Retrieval Augmented Generation (RAG)
• NLP
• Knowledge graphs
• Predictive modeling
• Production AI systems at scale

The team is highly hands-on, focused on delivering production-grade solutions that solve real-world business problems.

Responsibilities:

• Design and develop AI/ML solutions for large-scale enterprise applications
• Build and deploy production-ready machine learning and Generative AI systems
• Collaborate closely with engineering, product, and business stakeholders
• Apply advanced analytical and problem-solving skills to ambiguous business challenges
• Develop scalable Python-based AI/ML applications and services
• Evaluate and implement modern AI techniques including LLMs, RAG pipelines, and agentic workflows
• Contribute to system architecture, experimentation, and model optimization
• Mentor junior team members and contribute to technical best practices
• Stay current with evolving AI technologies and frameworks

Required Qualifications:

• 5+ years of hands-on experience developing AI/ML solutions in production environments
• Strong Python programming skills with experience across modern AI/ML frameworks (pandas, scikit-learn, LangChain, NLP/Deep Learning frameworks)
• Experience with LLMs, Generative AI, RAG architectures, prompt engineering, and agentic AI systems
• Strong foundation in machine learning, algorithms, system design, and scalable software development
• Excellent analytical problem-solving, communication, and stakeholder partnership skills within cross-functional environments

Preferred Qualifications:

• Experience building enterprise-scale AI/ML products or platforms
• Background within healthcare, pharma, or life sciences environments
• Exposure to AWS technologies including Bedrock, SageMaker, ECS, and serverless architectures
• Experience with knowledge graphs, advanced NLP, or recommendation systems
• Experience operating within startup and/or enterprise environments
• Advanced STEM degree preferred (Computer Science, AI, Statistics, Engineering, etc.)

All candidates must be authorized to work in the United States. The client does not provide visa sponsorship or transfers. They also are not currently accepting candidates who are on an OPT visa.