Senior Data Scientist - Product Intelligence Analytics

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful.

Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact This is a Senior Product Analytics role focused on understanding how our products are used across Axon's ecosystem. You will partner closely with a Senior Analytics Engineer to shape shared analytics capabilities — metric frameworks, context modeling standards, and reporting conventions — that keep product data consistent and trustworthy across teams.

Within that shared foundation, you'll also go deep on one or more specific products or business pillars — owning the full arc from defining what to measure and ensuring it lands correctly, through to the analysis and judgment that shape high-stakes product decisions. You'll work in close, ongoing partnership with product managers, acting as their analytical thought partner on product adoption, engagement, and go-to-market strategy — starting by pressure-testing the question itself, not just answering what's asked.

You'll also help define how AI and agentic systems consume and act on our product analytics — what data, context, and guardrails an agent needs to reason reliably about product usage, and where automation can extend analyst judgment. Success in this role comes from strong analytical judgment and genuine curiosity about the product and business, not from engineering credentials. You're someone who thinks like an analyst first.

You have the instinct and ability to stop or redirect analysis when it becomes clear it's answering the wrong question, rather than seeing it through to a technically complete but low-impact deliverable. You’re comfortable with SQL and data modeling as tools in service of insight, not as an end in themselves. You reach for statistical techniques — segmentation, experimentation, forecasting — when they sharpen the answer, and you pick the simplest one that builds conviction quickly, not the most sophisticated one available.

Because this is an applied, decision-focused role, not a research role, it requires strong influencing and communication skills and a collaborative, team-first mindset. What You'll Do Location: This role follows a hybrid schedule and is based out of our Seattle office. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.

Reports to: Principal Product Manager, Analytics Direct Reports: None – this is an individual contributor role Serve as the analytical thought partner to product managers — pressure-testing whether we're asking the right question before scoping any analysis, and proactively surfacing risks or leading indicators stakeholders haven't asked about. This role is expected to function as an early-warning system, not only respond to requests.

Partner with product managers to define what needs to be measured, specify event taxonomy and tracking requirements, and validate the data lands correctly — turning that foundation into the models and analysis that drive high-quality, high-velocity decisions. Build and maintain durable data models and applied analyses — using statistical methods (segmentation, forecasting, experimentation) where they add rigor — that transform raw telemetry into business-aligned insight, favoring clear, purpose-built analysis over generic dashboards or one-off exploratory work.

Explore and apply how AI agents can perform or accelerate analytics work — from natural-language querying to auto