Position Details

Salary $147K – $167K USD / year

Type Full-Time

Experience lead

Exp. Years 3-5 years

Education Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related quantitative field) plus 5 years of analytics experience; OR Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years; OR PhD in a quantitative field

Category AI & Machine Learning

About this role

Principal Associate, Data Science focusing on fraud prevention using graph-based techniques to uncover complex connections across large datasets. Works across Python/SQL, AWS, and graph databases to build industry-leading protections.

Key Responsibilities

Leverage a broad stack to build knowledge graphs and graph algorithms
Pilot graph modeling algorithms through all phases of development
Connect modeling to business goals of fraud prevention
Partner with cross-functional teams to deliver fraud defenses
Develop production-ready AI/ML components and governance

Technical Overview

Stack includes Python, SQL, AWS, Spark, and graph technologies (Knowledge Graphs, NeptuneDB/Neo4j) with graph query languages Gremlin and Cypher; emphasis on scalable graph algorithms and production-grade AI/ML components.

Ideal Candidate

An experienced data scientist with hands-on graph analytics, knowledge graphs, and graph databases, plus strong Python/SQL skills and AWS cloud experience. A background in fraud data science and the ability to translate business goals into graph-based solutions is highly desired.

Must-Have Skills

Knowledge GraphsGraph databasesGremlinCypherAWSPythonSQL3+ years Knowledge Graphs3+ years AWS experience3+ years Python/Scala/R3+ years SQL experience

Nice-to-Have Skills

Master's Degree in STEMPhD in STEMExperience with Graph database management (Neo4jNeptuneDB) 1+ yearsExperience with Graph query languages (GremlinCypher) 1+ years1+ year experience with AWS

Tools & Platforms

NeptuneDBNeo4jGremlinCypherAWSPythonSQLSpark

Required Skills

Bachelor's degree; Knowledge GraphsGraph databasesPythonSQLAWSSparkGremlinCypherNeptuneDBNeo4jGraph algorithmsData scienceMachine learningCloud computing

Hard Skills

PythonSQL / PostgreSQLAmazon Web ServicesGoogle Cloud PlatformAzureSparkGremlinCypherKnowledge GraphsGraph databases

Soft Skills

Customer focusInnovativeCollaborativeTeamworkCommunicationProblem solvingAdaptability

Industry & Role

Industry Fintech

Role Subtype Data Scientist

Tech Domains Python, SQL / PostgreSQL, Amazon Web Services, Google Cloud Platform, Azure

Clearance & Visa

Visa Sponsorship Yes

Keywords for Your Resume

data sciencegraph databasesKnowledge GraphsNeptuneDBNeo4jGremlinCypherAWSAmazon Web ServicesPythonSQLSparkGraph databasesKnowledge graphs3 years experience with Knowledge Graphs3 years AWS3 years Python/Scala/R3 years SQLcloud platformsGraph algorithms

Deal Breakers

Lack of knowledge graph or graph database experience, Less than 3 years data analytics experience, No Python or SQL experience

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