Data Scientist, AI Data Foundations
remotemid
via Ashby
About this role
Data Scientist, AI Data Foundations
About the Role
Reporting into the Data Engineering organization, the Data Scientist is responsible for designing and building the curated data structures that AI and ML applications consume across MeridianLink. You will own the vector stores behind our RAG systems, the feature store that powers model training and inference, and the graph databases that capture relationships across applicants, products, and decisions. You will also lead targeted data discovery work, surfacing hidden trends in our lending and account-opening data that inform both AI use cases and the broader business.
This is a hands-on, build-oriented role.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, databricks, pinecone, weaviate…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqldatabrickspineconeweaviatechromaneo4jawsazurepysparkpandasnumpyscikit-learntransformerslangchainopenaimlflowbedrock