Collaborate with scientists, engineers, product owners, and business customers to translate business problems into technical solutions
Deliver solutions for data extraction, classification, routing, search, and decision-making using foundation models with guidance on approach
Manipulate and analyze data programmatically, derive statistically sound insights, and communicate findings that address technical and business considerations
Engineer and evaluate foundation model prompts systematically across domain datasets
Implement evaluation frameworks using precision, recall, F-1 scores, accuracy, and operational metrics with guidance
Contribute to documentation and support junior team members as peer collaborator
Break down well-scoped problems into measurable components and identify trade-offs between approaches

2-5 years of relevant professional experience in data science, machine learning, or related fields; advanced graduate research or academic work may substitute for professional experience
Strong communication skills that convey statistical and business impact, proactively surface issues, and keep collaborators and leaders informed
Proficiency with Python from a functional programming paradigm, including dependency management, virtual environments, and git version control
Experience or strong familiarity with cloud platforms like Azure and Databricks using foundation model APIs (OpenAI, Anthropic, Google, etc.)
Working familiarity with ML fundamentals (supervised/unsupervised learning, evaluation metrics, model validation) and statistical methods
Experience implementing solutions with foundation models, including prompt engineering and output validation
Demonstrated capability to execute well-scoped projects with periodic guidance, iteratively refining through diagnosis and hypothesis testing

Data Scientist – Midshift

Key skills