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- Greenville, SC
- Verified
Data Scientist
Salary
Job Description
Job title: Data Scientist Targeting 1-3 years of experience as a Data Scientist Location: IN OFFICE 5 days a week/ DT Greenville SC Daily Responsibilities • The role will first focus on the engineering and operationalization of ML and AI models, ensuring they run reliably in production. • Explore and introduce new tools in the MLOs ecosystem that improve scalability and reliability • Contribute to the development of standards for reproductivity, governance, and compliance • Collaborate with stakeholders across Data Science, IT, and business teams to ensure smooth integration of models • Build Monitoring and altering systems for data quality, drift, and prediction accuracy • Design Pipelines for Automated Data Ingestion, feature processing, and model retraining • Package and deploy machine learning models as APIs or batch workflows • Deploy Predictive Models into production environments • Build and maintain automated retraining and refit pipelines • Implement and monitor model performance dashboards and drift detection tools Requirements • Strong Problem Solving and Communication Skills • Familiarity with Model Deployment frameworks, workflow orchestration tools, or monitoring tools • Working Knowledge of cloud platforms (Azure preferred) • Solid understanding of ML, Statistics, and algorithmic thinking • Strong Programming skills in Python and R, Proficiency with SQL Job Type: Full-time Pay: $95,000.00 - $110,000.00 per year Benefits: • 401(k) • Dental insurance • Health insurance • Paid time off • Vision insurance Education: • Master's (Preferred) Experience: • Machine learning: 2 years (Required) • R: 2 years (Required) • Python: 2 years (Required) • SQL: 2 years (Required) • Data science: 2 years (Required) Work Location: In personMin Qualification
• Targeting 1-3 years of experience as a Data Scientist • Strong Problem Solving and Communication Skills • Familiarity with Model Deployment frameworks, workflow orchestration tools, or monitoring... • Targeting 1-3 years of experience as a Data Scientist • Strong Problem Solving and Communication Skills • Familiarity with Model Deployment frameworks, workflow orchestration tools, or monitoring tools • Solid understanding of ML, Statistics, and algorithmic thinking • Strong Programming skills in Python and R, Proficiency with SQL • Machine learning: 2 years (Required) • R: 2 years (Required) • Python: 2 years (Required) • SQL: 2 years (Required) • Data science: 2 years (Required) see moreApplying Instructions
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