✦ Luna Orbit — AI & Machine Learning

Principal Associate, Data Scientist

at Discover Financial Services

📍 2 Locations Unknown 💰 $147K – $167K USD / year Posted April 17, 2026
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Position Details

Salary $147K – $167K USD / year
Type Full-Time
Experience lead
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

About this role

Work as a Principal Associate Data Scientist on the Retail Bank Customer Protection team focused on fraud prevention. Build knowledge graphs and graph algorithms using Python, AWS, and Spark, and pilot graph modeling through the full development lifecycle to strengthen fraud defenses.

Key Responsibilities

  • Leverage Python, Conda, AWS, Spark, Gremlin, and NeptuneDB to build knowledge graphs and graph algorithms
  • Pilot graph modeling algorithms through design, training, evaluation, validation, and implementation
  • Translate fraud prevention strategy business goals into technical solutions
  • Collaborate with cross-functional teams to deliver fraud defenses
  • Use SQL and Python-centric methods to engineer insights into production

Technical Overview

Graph-centric data science role leveraging Python, Conda, Amazon Web Services, Spark, Gremlin, and NeptuneDB. You will build knowledge graphs and graph modeling algorithms and take solutions from design through training, evaluation, validation, and implementation using SQL and Python-centric methods.

Ideal Candidate

The ideal candidate is a Principal Associate Data Scientist with strong hands-on experience using Python and cloud platforms such as Amazon Web Services to build production-ready analytics. They are proficient with graph-based approaches, including knowledge graphs and graph modeling algorithms, and can run the full model development lifecycle from design through evaluation, validation, and implementation. They partner effectively with fraud prevention stakeholders to deliver measurable improvements to customer protection defenses.

Must-Have Skills

Customer firstLeverage technologies including PythonCondaAWSSparkGremlinNeptuneDBPilot graph modeling algorithms from design through trainingevaluationvalidationand implementationHands-on experience developing data science solutions using open-source tools and cloud computing platforms

Tools & Platforms

PythonCondaAmazon Web ServicesAWSSparkGremlinNeptuneDBSQL

Required Skills

PythonCondaAWSSparkGremlinNeptuneDBknowledge graphsgraph algorithmsgraph modeling algorithmsfraud preventionmachine learningSQLcloud computingopen-source tools

Hard Skills

data science solutionsPythonCondaAWSAmazon Web ServicesSparkGremlinNeptuneDBgraph modeling algorithmsknowledge graphsgraph algorithmsstructured and unstructured dataSQLfraud preventionmachine learningmodel development lifecycle (design through trainingevaluationvalidationand implementation)cloud computingopen-source toolsgraph algorithms

Soft Skills

partner with cross-functional team of data scientistssoftware engineersbusiness analystsand product managerscustomer firstresearch and evaluate emerging technologiestranslate technical modeling expertise into business goalscollaborationinnovative mindset

Industry & Role

Industry Banking
Job Function Build and operationalize graph-based data science models for fraud prevention
Role Subtype Data Scientist
Tech Domains Amazon Web Services, Python, AI & Machine Learning, Kubernetes, SQL / PostgreSQL

Keywords for Your Resume

Principal AssociateData ScientistPythonCondaAWSAmazon Web ServicesSparkGremlinNeptuneDBknowledge graphsgraph algorithmsgraph modeling algorithmsmachine learningfraud preventioncustomer protectionSQLopen-source languagescloud computingdesign through trainingevaluationvalidationimplementationcross-functional team

Deal Breakers

Hands-on experience developing data science solutions using open-source tools and cloud computing platforms

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