Staff Applied Data Scientist, Agentic AI

About Emergence AI

Emergence AI is a frontier agentic AI lab advancing safe, autonomous AI through its pioneering neuroformal architecture. We are building the next generation of enterprise AI: systems capable of understanding complex knowledge, reasoning across information, executing multi-step workflows, and taking action with the verifiability and reliability required for mission-critical environments.

Our Enterprise Agent Platform provides the foundation for building, deploying, and operating AI systems in production — from data connectivity and knowledge management to workflow orchestration, observability, evaluation, and governance. We partner with organizations in semiconductor manufacturing, life sciences, and other data-intensive industries to solve complex challenges that require trusted AI systems capable of operating in real-world environments.

Our team brings experience from leading AI research labs and technology companies, including IBM Research, The Allen Institute for AI, Amazon, and Broadcom. With headquarters in New York and offices across California, Spain, and India, we bring together diverse expertise and perspectives to tackle some of the most challenging problems in enterprise AI.

About the Role

We're looking for 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.

This is a highly hands-on Staff-level role with significant technical ownership. You'll own customer problems from discovery through production deployment, helping build reusable capabilities that become core components of Emergence AI's platform.

You'll

• 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.

You'll Have

• 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.

Bonus Points

• Experience building AI agents, LLM-powered applications, or RAG and tool-calling workflows.
• Experience with agent frameworks such as LangGraph, CrewAI, AutoGen, ADK, or similar technologies.
• Experience with model evaluation, observability, or human feedback systems.
• Experience with modern cloud and data platforms such as AWS, GCP, Azure, Databricks, Snowflake, Spark, or Kubernetes.

 

Emergence AI offers competitive compensation.
Comprehensive health benefits including medical, dental and vision.
401(k) with company match.
Flexible PTO and company holidays.
Flexible hybrid/remote work environment.
The opportunity to work at the forefront of technological advancement.

Compensation Range: $180K - $300K

Emergence AI is an equal opportunity employer committed to building an inclusive workplace where people with diverse backgrounds, experiences, and perspectives can do their best work. We believe building trustworthy AI requires diverse ways of thinking, and we're committed to creating an environment where everyone can thrive.

If you're excited about this opportunity but don't meet every qualification, we encourage you to apply. We value curiosity, ownership, and the ability to learn just as much as matching every item on a job description.