Senior Data Scientist

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
Intelligent automation
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.)
Important Note:
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.

Work arrangement
Yes