Data Scientist, AI Data Foundations

MeridianLink
United States
Workplace: RemoteFull timeUSD 114,593 - 195,400 annuallyFunction: Data Science & Machine LearningExperience: 4-7 yearsEducation: bachelorsSkills: ["Communication","Problem-solving","Writing","Verbal communication"]

Data Scientist responsible for designing and building curated data structures for AI/ML applications, including vector stores for RAG, feature stores, and graph databases. Collaborates with ML engineers, drives data discovery, and ensures governance and high-quality data for model training and inference across MeridianLink products.

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FursaFursa
MeridianLink
MeridianLink
3 months ago

Data Scientist, AI Data Foundations

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Last checked: 5 hours agoStatus: Live

Job Summary

Data Scientist responsible for designing and building curated data structures for AI/ML applications, including vector stores for RAG, feature stores, and graph databases. Collaborates with ML engineers, drives data discovery, and ensures governance and high-quality data for model training and inference across MeridianLink products.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design, build, and maintain vector stores for retrieval-augmented generation (RAG) across MeridianLink products, including embedding pipelines, chunking strategies, indexing, and refresh patterns.
  • •Own the feature store assets used for model training and online/offline inference, including feature definitions, freshness SLAs, lineage, point-in-time correctness, and reuse across teams.
  • •Design graph databases modeling relationships between applicants, applications, products, lenders, decisions, and outcomes, and ensure they are queryable for AI use cases and analytics.
  • •Lead data discovery by profiling lending, deposit, and behavioral datasets to surface hidden trends, segments, anomalies, and potential model drivers for product, risk, and growth teams.
  • •Engineer AI-ready datasets with quality, documentation, and governance baked in for downstream model builders, application engineers, and analysts

Pay and Benefits

Salary: USD 114,593 - 195,400 annually

Key Requirements

  • •4–7 years of experience in a data science, ML engineering, or applied data role, with a meaningful portion of that time spent building data assets that other people's models or applications consumed.
  • •Hands-on experience designing and operating vector stores for RAG or semantic search, including embedding generation, chunking, indexing, and retrieval evaluation.
  • •Experience building or operating a feature store (e.g., Databricks Feature Store, Feast, or a custom internal platform), including offline training and online serving patterns and point-in-time correctness.
  • •Experience modeling and building graph data structures using Neo4j, TigerGraph, Azure Cosmos DB Gremlin, or similar graph databases — and writing graph queries to answer real questions.
  • •Strong proficiency in Python (pandas, NumPy, scikit-learn, PySpark) and SQL; comfortable working day-to-day in Databricks notebooks and jobs.
Experience:4-7 yearsFinTechSaaS
Education:Bachelor's
Skills:CommunicationProblem-solvingWritingVerbal communication
Languages:English
Tech Stack:PythonPandasNumPyScikit-learnPySparkSQLDatabricksHugging Face transformersOpenAIAzure OpenAILangChainNeo4jTigerGraphAzure Cosmos DBPgvectorPineconeWeaviateFAISSAzure DatabricksDelta Lake

Company Brief

MeridianLink
Provides cloud-based digital lending, account opening, background screening, and data verification platforms for financial institutions and consumer reporting agencies, enabling automation, compliance, and data-driven decisioning.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Valuation: Unicorn (USD 1B+)
Funding: Private Equity Backed
Headquarters: Irvine, United States
Founded: 1998
Glassdoor
Glassdoor: 3.1
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