✦ Luna Orbit — Data & Analytics

Manager, Data Scientist

at Capital One Financial

📍 3 Locations Unknown 💰 $197K – $225K USD / year Posted March 14, 2026
Salary $197K – $225K USD / year
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves developing advanced data science models, particularly in generative AI, managing large datasets, and deploying machine learning solutions within a financial services environment.

  • Partner with cross-functional teams to deliver AI products
  • Fine-tune large language models
  • Manage data annotation projects
  • Develop and deploy data pipelines
  • Leverage emerging AI technologies

Stack includes Python, PyTorch, Hugging Face, Dask, LangChain, with a focus on AI model development, data annotation, and large-scale data pipeline management.

The ideal candidate is a mid-level data scientist with experience in machine learning, large language models, and open-source tools like PyTorch and Hugging Face, capable of developing and deploying AI solutions.

Experience developing data science solutionsHands-on experience with open-source toolsExperience with cloud computing platformsExperience with large language models
Generative AIData annotationModel optimizationData engineeringDeep learning
PythonPyTorchHugging FaceDaskLangChain
PythonPyTorchHugging FaceDaskLangChainData AnnotationData PipelinesModel DeploymentData AnalysisGenerative AI
Data ScienceMachine LearningStatistical ModelingPythonPyTorchHugging FaceDaskLangChainData AnnotationData PipelinesModel DeploymentData AnalysisGenerative AI
collaborationinnovationcommunicationproblem-solvinginterpersonal skills
Industry Financial Services
Job Function Develop and deploy AI and machine learning models for financial data analysis
Role Subtype Data Scientist
Tech Domains Python, PyTorch, Hugging Face, Dask, LangChain
Clearance Required None
Visa Sponsorship No
Data ScientistMachine LearningStatistical ModelingPythonPyTorchHugging FaceDaskLangChainGenerative AIData AnnotationData PipelinesModel DeploymentData AnalysisLarge Language ModelsAIData Science

Lack of experience with large language models, No experience with Python or open-source ML tools, No cloud computing experience, No data science solutions development experience

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