At NetFire, data science isn’t treated as an afterthought or a black box—it’s an essential pillar of how we design intelligent systems and support better decisions. Our data science team blends statistical rigor, business context, and AI engineering to uncover patterns, validate assumptions, and power smarter products.

Whether you need foundational research, production-grade models, or deep audits of your data infrastructure, NetFire offers a flexible, high-impact data science capability that plugs in exactly where your team needs it.

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Our core capabilities include:

• Applied Statistical Modeling
  Design and validation of models that stand up to real-world uncertainty—forecasting, classification, regression, anomaly detection, and more.

• Experimental Design & Evaluation
  From A/B testing frameworks to observational study analysis, we help teams design meaningful experiments and interpret results with confidence.

• ML-Ready Data Workflows
  Cleaning, feature engineering, and transforming raw data into structured, model-ready pipelines that scale.

• Custom Research for AI Systems
  Tailored studies that inform LLM behavior, fine-tuning strategies, RAG evaluation, or model alignment—all grounded in rigorous data methodology.

• Business Impact Analysis
  Translate data findings into measurable business KPIs—helping leadership make data-backed decisions with clarity and confidence.

• Data Audit & Health Checks
  Evaluate existing datasets for quality, structure, and gaps—identifying where data can be trusted, improved, or augmented for AI use.