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Senior Data Scientist – Autonomous Driving Performance & Safety Analytics
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Senior Data Scientist - Machine Learning, Deep Learning & Agentic AI
Relocation
AI Summary
Build and deploy production-ready AI/ML solutions, including agentic AI workflows, spanning data pipelines, model development, and cloud-based deployments. Focus on predictive modeling, transformer architectures, and integrating intelligent agents with business applications. Requires expertise in PyTorch, PySpark, and GCP with hands-on experience in end-to-end ML lifecycle.
Key Highlights
End-to-end ownership of AI/ML pipelines from data exploration to model monitoring and optimization
Specialized focus on agentic AI, transformer models, and business-driven predictive analytics
Hybrid/onsite roles available in Texas, Georgia, and New Jersey with relocation support
Key Responsibilities
Design and deploy end-to-end ML pipelines, including data preparation, feature engineering, and model monitoring
Develop and optimize transformer-based, deep learning, and agentic AI models for business applications
Integrate AI agents and intelligent workflows with existing data pipelines and cloud-based systems (GCP/BigQuery)
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Technical Skills Required
Benefits & Perks
Competitive hourly pay ($45/hr, negotiable)
Healthcare insurance (Medical, Dental, Vision)
Paid sick leave and major holidays
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Nice to Have
Experience with PySpark for large-scale data processing
Knowledge of propensity modeling and churn prediction
LLM integration and tool-calling for agentic AI
Job Description
We are looking for candidates who are willing to relocate and work onsite or in a hybrid model at our locations in Texas (TX), Georgia (GA), or New Jersey (NJ).We are looking for a Data Scientist with strong expertise in traditional data science, machine learning, deep learning, and agentic AI development to build, deploy, and maintain production-ready AI and ML solutions that support business objectives.
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