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About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
Want to be part of the AI revolution and transform how the world's largest global brands do business Join us!
We are looking for a Senior Data Scientist to join our Agentic Solutions team, focused on driving innovation through the design, development, and delivery of AI-powered agentic solutions. This role sits at the intersection of data science, generative AI, product innovation, and client delivery, helping translate complex business problems into practical, scalable AI solutions.
The ideal candidate is hands-on, delivery-oriented, and excited about applying advanced analytics, machine learning, large language models, and agentic AI frameworks to real-world use cases. You will work closely with cross-functional teams, including product, engineering, solutions, and customer-facing stakeholders, to prototype, validate, and deploy intelligent solutions that create measurable business impact.
This role is well-suited for someone who combines strong technical depth with practical execution, strong problem-solving skills, and the ability to communicate complex ideas clearly to both technical and non-technical audiences.
Responsibilities:
Requirements:
Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
Job ID: 151837435
Skills:
Performance Tuning, Data Governance, Databricks, AWS, Data Analysis, model training, Monitoring, analytics pipelines, cloud-native AWS services, Analytics, recommendation models, data ingestion, Databricks Spark, feature engineering, security standards, refinement
Skills:
Nlp, Machine Learning, Pandas, Grafana, Sql, Python, Airflow, LLM-based extraction, scikit-learn
Skills:
data preparation , Python, Sql, Query Optimization, Ml, Generative AI, Ai, Evaluation, fine-tuning, Statistical Techniques, model training, Deployment, Monitoring, scalable analytics
Skills:
causal inference , Machine Learning, Python, Sql, Econometric statistical models, R, Bayesian Methods, Hierarchical modeling, Regression
Skills:
Machine Learning, Data Science, Data Visualization, Data Analytics, Python, Statistics, R, Data Analysis, AI frameworks