Senior Software Engineer II (TASER Data Science)

Role Overview

Location and Work Pattern

• The role is based in the Seattle or Scottsdale office and follows a hybrid schedule.
• Team members work onsite Tuesday through Friday and may work remotely on Mondays unless an accommodation is approved.

What You Will Do

• Build and ship dashboards, metrics systems, and recommendation tools that support real decisions.
• Deploy and operate production machine-learning models with monitoring, versioning, and failure handling.
• Build data pipelines from TASER device telemetry to analytics surfaces used by agencies and internal stakeholders.
• Set technical direction for engineering practices across the data science team.
• Work across device-side ingestion, data infrastructure, and user-facing analytics.
• Use AI tools as a core part of the development workflow.

Must-Haves

• Write strongly typed, comprehensively tested, maintainable production code in Python.
• Deploy and operate machine-learning systems in production, including model serving, monitoring, failure handling, and operational rigor.
• Shape technical roadmaps, influence peers and organizational direction, and advance goals independently.
• Define evolving problems and requirements while solving them.
• Work with messy real-world data such as device logs, behavioral data, or event streams.

Strong Preferences

• An advanced degree in a quantitative or analytical field is strongly preferred.
• Experience with ML production tooling such as model registries, serving infrastructure, pipeline orchestration, and monitoring is preferred.
• Experience with Azure ML, Databricks, Snowflake, or batch and streaming architectures is preferred.
• Experience with device telemetry, IoT event logs, or similar hardware-adjacent data is preferred.

Benefits

• Benefits may include a 401k match, paid time off, parental leave, medical, dental, vision, fitness, wellness, learning, and employee resource programs.