Staff Data Scientist – AI/ML

Why We Have This Role

How You’ll Find Success

• Thrives in Ambiguity: Operates with a zero-to-one startup mentality. You don’t need a map; you look at complex, unstructured data chaos and naturally enjoy building foundational AI products and data pipelines from scratch.
• Bridges Science and Engineering: Fluidly moves between deep applied AI research and robust production engineering, ensuring brilliant theories actually scale in production.
• Customer-Centric Translator: Enjoys working directly with pilot partners and customers, listening to their unique business pain points, and translating them into technical requirements and concrete industry ontologies.
• Principled Technical Leader: Takes ownership of the technical vision, setting a high bar for architectural excellence while mentoring and elevating the engineering team around you.
• Rigorous and Evidence-Driven: Rejects guesswork. You lean heavily on simulation, validation, and off-policy evaluation to ensure AI recommendations are grounded in reality.

How You’ll Grow

• Pioneer Agentic AI: You will be at the absolute bleeding edge of LLM orchestration and world modeling, setting industry standards for how enterprises deploy autonomous agents.
• Expand Technical Authorship: Refine your voice as an industry thought leader with active support to publish papers, write technical books, or speak at major global AI conferences.
• Executive & Strategic Visibility: Shape the foundational AI product roadmap of the company, giving you direct influence over strategic business decisions and high-level customer relationships.

Things You’ll Do

• Map fragmented data to human-readable terms by leading the discovery and mapping of raw event logs to Vertical Ontologies (Industry Knowledge Packs).
• Accelerate AI accuracy by 60% by designing and deploying a Concept Graph that anchors the substrate, utilizing verified profile IDs instead of session data for memory.
• Train autonomous agents efficiently by building the logic for Reward Signal Extraction and Context-Aware actioning to infer KPIs directly from interaction logs, avoiding traditional delayed-reward bottlenecks.
• Reduce agentic action risk by 40% by utilizing Off-Policy Evaluation (OPE) and action-conditional world models to simulate high-value scenarios and ground recommendations.
• Avoid the “Services Trap” and enable scale by engineering automated systems that allow 80% of the team’s context mapping to be executed seamlessly without manual intervention.

What We’re Looking For On Your Resume

• A Proven Tracker Record in AI/ML: Broad capability delivering high-impact AI systems at scale (typically requires around 10+ years of professional data science experience).
• Deep Graph Expertise: Hands-on experience designing, implementing, and querying graph databases, with specific, deep technical proficiency in AWS Neptune and SPARQL.
• Production-Level Data Pipelines: Extensive experience with Apache Spark (PySpark/Scala) for large-scale distributed data processing and ETL optimization on massive datasets.
• Modern LLM Orchestration: Direct, practical experience building sophisticated applications using frameworks like LangChain, LlamaIndex, or equivalent agentic workflows.
• Cloud Architecture: Strong hands-on backend and infrastructure skills utilizing Python and the AWS ecosystem (EC2, Lambda, S3, CloudFormation, CDK, or Terraform).

What You Should Know About This Team

Our Team’s Favorite Perks and Benefits

• Dedicated Growth Time: We spend 10% of our time every quarter on individual engineering growth activities, research exploration, and passion projects.
• Continuous Learning Stipend: Receive an annual stipend for technical books, research papers, and subscriptions to keep your skills at the absolute cutting edge.
• Conference & Publication Support: Fully covered travel and attendance expenses when you are selected to present research or speak at major industry AI conferences.
• Top-Tier Health & Wellness: Comprehensive global health, dental, and vision coverage, alongside flexible time-off policies to ensure you stay energized.