Senior Data Scientist at Axon (Seattle, WA)

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Location: Seattle, WA, Scottsdale, AZ, or Remote
Axon Business Intelligence
The Axon BI team is on a mission to create and foster a company-wide data culture by consuming necessary data from various sources, structuring data in a way that just makes sense, equipping stakeholders of any technical depth with tools to access and understand the data, and delivering insights that further our mission to Protect Life. Axon BI's Data Science & Analysis squad is tasked with extracting meaningful takeaways from data to drive better outcomes for Axon products and services. Members of this squad interface closely with the other Axon BI squads (Data Engineering and Axon Data Warehouse), as well as R&D Product Managers and Engineers.
Your Impact
As the Senior Data Scientist in the Business Intelligence team, you will be considered a technical and analytical leader, playing an integral role in helping Axon discover our customers, understand how they use our products, identify patterns leading to both engagement and churn, develop customer segments, and propose tangible recommendations for improving the customer experience. This work will help us understand the current performance of our products, influencing the direction of the product roadmap and the future of our business.
You will think big and long-term, while remaining agile and flexible. Your high standards and industry experience will help our team continue to set the bar for data science at Axon, and your helpful, "can do" attitude will make others want to partner closely with you. You have a problem-solving mindset, with the tenacity to push through ambiguous obstacles, develop better ways of doing things, and thrive in a fast-paced environment.
Your Day to Day
  • Collaborate with partners across Product, Engineering, Sales, Operations, and Marketing to translate open-ended, ambiguous business questions into thoughtful data analysis and clear, actionable recommendations.
  • Identify, cleanse, model, and analyze a wide array of complex datasets across Axon devices and services.
  • Present exploratory findings to senior leadership and a broader Axon audience on a regular (monthly) basis.
  • In close partnership with product managers, define how our product teams uniquely measure success, establishing key business metrics.
  • Develop annual forecasts for key business metrics to support goal-setting and monthly tracking.
  • Partner with BI Developers to build and augment cross-product metric dashboards.
  • Set long-term vision and direction for business-driven data science at Axon, and mentor junior analysts/data scientists as well as any internal partners who want to learn more about the data science discipline.
Basic Qualifications
  • 5+ years of work experience in data science, engineering, business intelligence, software engineering, or related field.
  • 3+ years of experience using industry-standard, cloud-based (AWS or Azure) solutions for data ingestion, storage, warehousing, ETL, performance tuning, and monitoring.
  • Advanced skills in one or more scripting languages (Python, SQL, R, Scala, etc.) for manipulating data and drawing insights from large data sets.
  • Strong, independent problem solving skills with an emphasis on product development.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Experience visualizing/presenting data for stakeholders using Tableau, Power BI, ggplot, etc.
  • Excellent written and verbal communication to stakeholders of varying technical depth.
  • Strong attention to detail, comfortable working on ambiguous datasets and ensuring reporting accuracy.
  • Success influencing as well as partnering with cross-functional leadership in a fast-paced, dynamic environment of consistent growth.
  • Optimistic attitude and highly collaborative.
Preferred Qualifications
  • Knowledge of a variety of machine learning techniques (clustering, decision tree/random forest, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Intermediate-to-advanced knowledge of Azure data solutions, specifically: Synapse Analytics, Data Factory, Data Lake Storage, Databricks, Data Purview (or Data Catalog), Event Hubs, and Power BI Embedded.
  • A drive to learn and master new technologies and techniques.
  • A sense of humor.
Compensation and Benefits
  • Competitive salary, 401K with employer match, and equity
  • Discretionary paid time off
  • A supportive parental leave policy
  • An award-winning office/working environment
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Location

Downtown Seattle: easy opportunities to get outside, enjoy south lake union, popular bars & restaurants, workouts, multiple transportation options

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