Data Scientist

• Responsible for mining big data, interpreting and analyzing complex data sets
• Develops and deploys predictive models to analyze company performance and improve customer experiences
• Applies statistical techniques and machine learning algorithms to identify trends within Mazda data
• Collaborates closely with data engineers, analysts, and business stakeholders to integrate data-driven solutions

• Develops explainable and high-performance reinforcement learning (RL) agents, including graph neural network-based approaches.
• Designs advanced AI patterns, such as Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) systems, to enable natural language control of complex software and simulation interfaces.
• Develops and integrates AI/ML applications within DoD Modeling & Simulation environments (e.g., JLVC, JTLS-GO) to enhance realism and analytical capability.

Data Scientist III, SME

• Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements.
• Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs.
• Ingest and enrich unstructured Ads content and publish retrieval‑ready datasets using our managed search/vector services.
• Design and evaluate retrieval workflows (RAG) with existing services for hybrid search and re‑ranking; set quality/latency targets and iterate via experiments.
• Design agent reasoning and policies on ads, including tool definitions and human‑in‑the‑loop approvals.
• Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost.
• Run A/B or uplift experiments to quantify impact and guide iteration.
• Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and time‑to‑insight.

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Data Scientist

Data Scientist III, SME

Ads AI Analytics Lead