{"id":2970930,"url":"https://alion.io/job/emergence-staff-applied-data-scientist-agentic-ai-2","title":"Staff Applied Data Scientist, Agentic AI","company":{"id":23917,"name":"Emergence","domain":"emergence.ai","url":"https://alion.io/company/emergence","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irvine, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CrewAI","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Google ADK","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"RAG","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-16T08:25:39Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T17:26:11Z","board_verified":true,"closed_at":null,"days_open":68,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":68},"description":"About Emergence AI\nEmergence AI is building AI agents that don't just generate answers-they investigate, reason, and help organizations make better decisions.\nOur platform enables enterprises to deploy intelligent agents that understand complex data, collaborate across business systems, and automate high-value work with the transparency, traceability, and reliability required for production environments.\nMost AI generates answers. We're solving the harder problem: building AI systems organizations can trust with real work. That means developing agents that can evaluate evidence, explain their reasoning, learn from feedback, and operate reliably when the stakes are high.\nFounded by veterans of IBM Research, Google, Microsoft, and Amazon, we're a small team of researchers, engineers, and builders working at the intersection of frontier AI research and real-world customer challenges. Everyone owns meaningful work, collaborates directly with customers, and helps shape the future of our platform.\nAbout the Role\nWe'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.\nThis 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.\nYou'll\nBuild the statistical and machine learning capabilities that power autonomous AI agents operating on complex enterprise data.\nDesign models for anomaly detection, forecasting, optimization, root-cause analysis, and decision support.\nAnalyze large, multi-source enterprise datasets spanning structured, unstructured, operational, and time-series data.\nPartner with AI engineers to build agentic workflows that can query data, evaluate evidence, generate insights, and support customer decisions.\nTranslate ambiguous customer challenges into scalable, production-ready AI solutions.\nDevelop reusable analytical capabilities that become core platform features used across multiple customer deployments.\nEstablish best practices for experimentation, model evaluation, governance, and operational reliability.\nMentor engineers and data scientists while helping raise the technical bar across the organization.\nYou'll Have\nSignificant experience building production machine learning or applied data science systems.\nStrong Python skills and experience with modern machine learning and data science libraries.\nDeep expertise in statistical modeling, machine learning, experimentation, and model evaluation.\nExperience working with large, complex enterprise or operational datasets.\nA track record of taking ambiguous technical problems from discovery through production deployment.\nExcellent communication skills with the ability to explain complex technical concepts to engineers, customers, and executive stakeholders.\nA collaborative mindset and passion for mentoring others while continuing to learn and grow.\nBonus Points\nExperience building AI agents, LLM-powered applications, or RAG and tool-calling workflows.\nExperience with agent frameworks such as LangGraph, CrewAI, AutoGen, ADK, or similar technologies.\nExperience with model evaluation, observability, or human feedback systems.\nExperience with modern cloud and data platforms such as AWS, GCP, Azure, Databricks, Snowflake, Spark, or Kubernetes.\nEmergence AI offers competitive compensation.\nComprehensive health benefits including medical, dental and vision.\n401(k) with company match.\nFlexible PTO and company holidays.\nFlexible hybrid/remote work environment.\nThe opportunity to work at the forefront of technological advancement.\nCompensation Range: $180K - $300K\nEmergence 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.\nIf you're excited about this opportunity but don't meet every qualification, we encourage you to apply. 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