✦ Luna Orbit — Data & Analytics

AI/ML Data Scientist, Finance - Foster City

at Gilead Sciences

📍 United States - California - Foster City Hybrid 💰 $146K – $189K USD / year Posted March 28, 2026
Salary $146K – $189K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves developing AI/ML solutions tailored for finance, analyzing data, and supporting experimentation to improve financial processes and decision-making.

  • Build AI/ML models
  • Analyze finance data
  • Collaborate with product teams
  • Conduct testing and experimentation
  • Support AI-driven finance solutions

The technical environment includes AI/ML tools, data analysis platforms, and finance data systems, with a focus on building and testing AI-enabled solutions for financial operations.

The ideal candidate is a mid-level data scientist with expertise in AI and machine learning, with 3+ years of experience in finance data analysis, testing, and experimentation, capable of building AI-enabled solutions for financial processes.

AIMachine LearningData analysisFinance processesTestingExperimentation
Solution architectureData engineeringData modeling
AI/ML toolsData platformsFinance data systems
AIArtificial IntelligenceMLMachine LearningData analysisFinance processesData consultingTestingExperimentation
AIArtificial IntelligenceMLMachine LearningData analysisFinance processesData consultingTestingExperimentation
collaborationcommunicationproblem-solvinganalytical thinkingdetail-oriented
Industry Pharmaceuticals / Healthcare
Job Function AI/ML data science for finance
Role Subtype Data Scientist
Tech Domains AI, Artificial Intelligence, Machine Learning
AI/ML Data ScientistFinanceData analysisMachine LearningAIArtificial IntelligenceData consultingTestingExperimentationFinance processesData platformsData systemsData modelingSolution architecture

Lack of experience in AI/ML, No finance domain knowledge, Insufficient data analysis skills, Less than 3 years of relevant experience

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