Position Details

Salary $147K – $167K USD / year

Type Full-Time

Experience mid

Exp. Years 3+ years

Education Bachelor's Degree in a quantitative field; advanced degrees preferred per Basic Qualifications

Category Data & Analytics

About this role

Principal Associate, Data Science leads graph-based fraud defenses, building knowledge graphs and graph algorithms at Capital One, leveraging AWS, Python, and graph databases to detect and deter fraud.

Key Responsibilities

Leverage Python, Conda, AWS, Spark, Gremlin, NeptuneDB to build knowledge graphs and graph algorithms
Pilot graph modeling algorithms through all phases of development
Connect technical modeling to fraud strategy partners
Partner with data scientists, software engineers, analysts, and product managers
Deliver industry-leading fraud defenses

Technical Overview

Stack includes Python, Conda, AWS, Spark, Gremlin, NeptuneDB, and graph databases (Neo4j). Proficiency in Python/SQL/Scala/R and graph query languages (Gremlin, Cypher) required.

Ideal Candidate

The ideal candidate is a data science professional with 3+ years of analytics experience, strong knowledge graphs and graph databases (NeptuneDB/Neo4j), and solid AWS experience; proficient in Python, SQL, and either Scala or R, and capable of translating business needs into graph-based fraud defenses.

Must-Have Skills

Bachelor's Degree in a quantitative field + 5 years experienceMaster's Degree in a quantitative field or MBA with quantitative concentration + 3 yearsPhD in a quantitative fieldMaster's Degree in STEM + 3 years data analyticsAt least 1 year experience with AWSAt least 3 years' experience with PythonAt least 3 years' experience with SQLAt least 3 years' experience with ScalaAt least 1 year experience with graph databases (NeptuneDB/Neo4j)At least 1 year experience with graph query languages (GremlinCypher)

Nice-to-Have Skills

Master's Degree in STEM fieldPhD in STEM field3+ years experience with knowledge graphs1+ years experience with graph databases (NeptuneDBNeo4j)1+ years experience with graph query languages (GremlinCypher)1+ years experience with AWS3+ years experience in Python/Scala/R

Required Skills

Detection engineeringThreat detectionThreat huntingSQLPythonAWSNeptuneDBCypherGremlinGraph databasesGraph algorithmsSparkScalaROpen source tools

Hard Skills

PythonCondaAmazon Web ServicesSparkGremlinNeptuneDBNeo4jCypherKnowledge GraphsGraph databasesSQLScalaR

Soft Skills

Customer focusInnovativeAnalytical mindsetCommunicationCollaborationProblem-solving

Certifications

Required

GCIAGCIHCISSPGMONGREMGCTDMLECloud (GCPAWS) certifications

Industry & Role

Industry Banking

Job Function Develop graph-based data science solutions to improve fraud detection and customer protection

Role Subtype Data Scientist

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

Keywords for Your Resume

Principal AssociateData ScienceKnowledge GraphsGraph databasesNeptuneDBNeo4jGremlinCypherAWSPythonSQLScalaRGraph query languagesGraph algorithmsData analyticsFraud preventionCapital OneSpark

Deal Breakers

Lack of hands-on knowledge graphs/graph databases, No experience with AWS and graph query languages, Unable to meet minimum education/degree requirements

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