Senior Data Scientist

TRUE NORTH A CHURCH OF THE NAZARENE, INC.
United States
2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Data Sharing DevOps Digital Assets Python (Programming Language) Machine Learning Natural Language Processing Large Language Models Prompt Engineering Deep Learning Generative AI
+5 more
Pandas Scikit Learn Information Technology Data Analytics Serverless Computing

Job description

Partner with product and engineering teams to identify opportunities to apply AI and ML across our products.

Research, prototype, and evaluate innovative AI/ML solutions for complex business problems.

Build production-grade machine learning services in collaboration with Engineering and DevOps teams.

Contribute to shared data science platforms and reusable data assets.

Stay at the forefront of AI advancements and share knowledge across the team.

Requirements

️ Graduate degree in Computer Science, Engineering, Statistics, or another STEM discipline (or equivalent practical experience)

️ 5+ years of experience developing AI/ML applications and data-driven solutions

️ Strong Python skills with experience using libraries such as Pandas, Scikit-learn, LangChain, and related tools

️ Experience working with Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)

️ Strong understanding of modern AI techniques including Generative AI, NLP, and Deep Learning

️ Experience designing and deploying production-quality software

️ Excellent communication and stakeholder management skills

️ Experience mentoring junior team members

Nice to Have

Experience building agentic AI systems

Healthcare or pharmaceutical industry experience

AWS experience (ECS, Bedrock, SageMaker, Serverless)

Full-stack prototyping experience

Experience using AI-assisted development tools and workflows

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