Data Scientist – Machine Learning, Deep Learning & Agentic AI

Danta Technologies is recruiting a Data Scientist for a confidential client. The role builds, deploys, and maintains production-ready data science, machine learning, deep learning, and agentic AI solutions across the model lifecycle.

Responsibilities

• Build end-to-end data science and machine learning pipelines, including data preparation, feature engineering, model development, deployment, and monitoring
• Develop, train, evaluate, and deploy machine learning, deep learning, and transformer-based models
• Design and implement churn prediction, propensity modeling, and other business-focused predictive models
• Write, optimize, and maintain production-quality Python and SQL for day-to-day queries, data analysis, and model development
• Process and analyze large-scale datasets using PySpark and develop deep learning solutions using PyTorch
• Leverage GCP and BigQuery to build, deploy, and manage cloud-based data science and machine learning solutions
• Contribute to agentic AI development, including building AI agents, integrating tools, and developing intelligent workflows where applicable
• Integrate agentic AI capabilities with existing data pipelines, machine learning models, and business applications
• Monitor model performance, troubleshoot production issues, and continuously improve model accuracy, scalability, and reliability
• Collaborate with data engineering, software engineering, and business teams to translate requirements into production-ready models and actionable insights

Skills

• Strong expertise in traditional data science, machine learning, deep learning, and agentic AI development
• Strong modeling experience
• Hands-on experience or the ability to contribute to agentic AI development
• Strong hands-on skills in production coding, complex queries, data analysis, and model development
• Experience developing, evaluating, deploying, and maintaining models in production environments
• Hands-on experience with deep learning frameworks and distributed data processing
• Experience with feature engineering, statistical modeling, churn modeling, propensity modeling, and predictive analytics
• Knowledge of transformer-based architectures and their practical applications
• Experience across data preparation, model training, deployment, monitoring, and optimization
• Experience or practical knowledge of AI agents, agentic workflows, LLM integration, tool calling, and orchestration
• Experience with GCP and BigQuery

Benefits

• Option to elect healthcare insurance (Dental, Medical, Vision)
• Major holidays
• Paid sick leave as per state law
• Onsite or hybrid work at the locations in Texas (TX), Georgia (GA), or New Jersey (NJ), for candidates willing to relocate

Company Overview