Lead Data Scientist
Haystack · Milwaukee, WI · 1 mo ago
RemoteRemoteEngineeringFull-time
Responsibilities
- Research, develop, deploy, and maintain traditional AI/ML models following industry best practices
- Construct solutions with GenAI models to enhance internal capabilities and address market use cases
- Cook up coordination with Product, Business Development, ML Engineering, and IT to bring new data science products to market
- Drive best practices and continuous improvement within the data science team through planning, audit, and peer review
Requirements
- 10+ years of professional experience using AI/ML to create commercial data science solutions
- Expertise with Electronic Health Records or unstructured data analysis
- Demonstrable capability in building traditional AI/ML models (supervised, unsupervised, deep learning architectures)
- Expert understanding of NLP and generative AI, including effective use, fine-tuning, and evaluation of commercial models
- Hands-on experience building GenAI applications (e.g., RAG systems, LLM evaluation frameworks)
- Expert level Python programming, with some experience in R and/or SQL
- Expert user of Databricks or similar cloud-based model development ecosystems
- Knowledge of software engineering best practices (Git, unit testing, local development) and ML Engineering/ML Ops concepts
Qualifications
Commensurate with experience.
Skills
Not specified.
Benefits
Not specified.
Pay
TBD
Schedule
TBD