Nickolas G.

About Nickolas G.

As a Lead Data Scientist at Best Buy, I bridge advanced analytics and real-world impact. My work focuses on causal inference, machine learning, and econometrics to guide high-stakes decisions in areas like demand forecasting, marketing strategy, and supply chain resilience.I thrive at the intersection of technical depth and strategic relevance, designing modular, interpretable models that capture the nuances of consumer behavior, market dynamics, and organizational complexity. Whether I’m building long-horizon forecasts or experimentation pipelines, my goal is to enable data-driven strategies that are not only efficient, but resilient—especially in turbulent economic and policy environments.My foundation in physics, mathematics, and computer science is paired with a systems-thinking mindset, allowing me to synthesize insights across domains—from game theory to social choice—to support smarter collective decisions.I’m especially passionate about- Designing causal modeling frameworks that go beyond surface-level correlations- Driving cross-functional alignment between data science and strategic planning- Mentoring the next generation of data scientists with empathy and intellectual rigorI\'m especially interested in connecting with people who are thinking deeply about how to bring analytical rigor into real-world complexity—those who are shaping strategy, growing resilient teams, or advancing the role of data science in organizational decision-making.Whether through collaboration, conversation, or shared curiosity, I’m always looking to learn from others who are working at the intersection of analytics, leadership, and long-term impact.

Experience

1. Principal Data Scientist

   Best Buy

   Dec 2025 — Present

Education

• University of Wisconsin-Milwaukee

  Bachelor of Science (BS), Physics

  2011 — 2014