✦ Luna Orbit — Data & Analytics

Data Scientist

at VivSoft technologies

📍 Remote, US Remote Posted March 06, 2026
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Bachelor’s degree or higher in Data Science, Computer Science, Statistics, or a related field
Category Data & Analytics

Seeking a senior data scientist to develop and deploy AI/ML models in cloud-based environments, focusing on scalable solutions and responsible AI practices for federal projects.

  • Design ML models
  • Develop reproducible data pipelines
  • Perform feature engineering
  • Ensure responsible AI practices
  • Collaborate with stakeholders

Environment involves cloud platforms, AI/ML frameworks like TensorFlow and PyTorch, data pipelines, and data governance protocols.

The ideal candidate is a senior data scientist with 5+ years of experience in developing and deploying AI/ML models in cloud environments. They possess strong skills in Python, TensorFlow, PyTorch, and data governance, with experience supporting federal or regulated data environments.

PythonSQLTensorFlowPyTorchScikit-learnExperience with cloud environmentsModel developmentData pipelinesData governanceResponsible AI practices
Azure cloud environmentsfederal data environmentsdistributed ML workflows
AzureTensorFlowPyTorchScikit-learnData platformsData pipelines
PythonSQLTensorFlowPyTorchScikit-learnCloud environmentsData pipelinesModel developmentResponsible AIData governance
PythonSQLTensorFlowPyTorchScikit-learnCloud environmentsData pipelinesModel developmentModel deploymentData governanceResponsible AIFeature engineeringML workflowsFAIR principles
collaborationcreativitycontinuous learningproblem-solvingcommunication
Industry Government/Public Sector, Federal Technology
Job Function Developing and deploying AI/ML models in cloud environments for federal data projects
Clearance Required Public Trust
Data ScientistPythonSQLTensorFlowPyTorchScikit-learnCloud environmentsData pipelinesModel developmentResponsible AIData governanceFAIR principlesModel deploymentFeature engineeringML workflows

Lack of experience with cloud environments, No experience with model deployment or data pipelines, No relevant degree or experience in AI/ML

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