Staff Applied Data Scientist - Build Autonomous AI Agents

Emergence AI; Irvine (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Emergence AI is seeking a Staff Applied Data Scientist to help define how AI agents investigate enterprise data, explain their reasoning, and support better business decisions.

You'll combine statistical modeling, machine learning, and LLM-powered workflows to solve complex customer problems from end to end, working alongside AI engineers, researchers, product teams, and customers to transform messy enterprise data into intelligent systems that uncover insights and recommend meaningful actions.

Qualifications

• Significant experience building production machine learning or applied data science systems.
• Strong Python skills and experience with modern machine learning and data science libraries.
• Deep expertise in statistical modeling, machine learning, experimentation, and model evaluation.
• Experience working with large, complex enterprise or operational datasets.
• A track record of taking ambiguous technical problems from discovery through production deployment.
• Excellent communication skills with the ability to explain complex technical concepts to engineers, customers, and executive stakeholders.
• A collaborative mindset and passion for mentoring others while continuing to learn and grow.

Responsibilities

• Build the statistical and machine learning capabilities that power autonomous AI agents operating on complex enterprise data.
• Design models for anomaly detection, forecasting, optimization, root‑cause analysis, and decision support.
• Analyze large, multi‑source enterprise datasets spanning structured, unstructured, operational, and time‑series data.
• Partner with AI engineers to build agentic workflows that can query data, evaluate evidence, generate insights, and support customer decisions.
• Translate ambiguous customer challenges into scalable, production‑ready AI solutions.
• Develop reusable analytical capabilities that become core platform features used across multiple customer deployments.
• Establish best practices for experimentation, model evaluation, governance, and operational reliability.
• Mentor engineers and data scientists while helping raise the technical bar across the organization.

Skills

Production ML systems

Python

Statistical modeling

Experimentation

Model evaluation

Data analysis

Tools

LangGraph

CrewAI

AutoGen

ADK

AWS

GCP

Azure

Databricks

Spark

Kubernetes

Job description

Emergence AI is seeking a Staff Applied Data Scientist to help define how AI agents investigate enterprise data, explain their reasoning, and support better business decisions.

You'll combine statistical modeling, machine learning, and LLM-powered workflows to solve complex customer problems from end to end, working alongside AI engineers, researchers, product teams, and customers to transform messy enterprise data into intelligent systems that uncover insights and recommend meaningful actions.