Note: The job is a remote job and is open to candidates in USA. Emergence AI builds enterprise AI agents that investigate data, reason, and support organizational decisions. The Staff Applied Data Scientist will develop statistical and machine learning capabilities for these agents, taking customer problems from discovery through production and building reusable platform features.
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
- 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
- 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
Benefits
- 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.
Company Overview
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