Data Science Principal

3 days, 5 hours ago
Full-time
Lead
Data Science and Analytics
Axon

Axon

Axon, formerly TASER International, is a global leader in public safety technology. From smart weapons to body cameras and evidence management software, Axon provides safe and secure solutions for law enforcement, militaries, and citizens. With a missi...

Professional Services
1K-5K
Founded 1993

Description

  • Design and develop data analytics tools, automated validation frameworks, and dashboards for Finance Operations and Controllership.
  • Drive upstream data hygiene by partnering with source-system owners to fix data issues at the point of origin.
  • Own data dictionaries, lineage documentation, quality scorecards, and master data management standards for critical controllership data assets.
  • Partner with CIO and IT on integration strategy and support Snowflake data warehouse deployment.
  • Lead end-to-end data workstreams for M&A transactions, including due diligence, risk assessment, and integration playbooks.
  • Design and execute data mapping, cleansing, and migration plans for post-acquisition integration.
  • Build, own, and operate ETL and ELT pipelines that remediate data quality issues before data reaches reporting or AI systems.
  • Create repeatable M&A data integration frameworks using AI-assisted automation for profiling, matching, and anomaly detection.
  • Co-design audit-ready data pipelines with traceable lineage, complete audit trails, and evidence suitable for external audit.
  • Build or support close-process tools such as GL-to-sub-ledger, intercompany, and journal entry workflows to reduce manual effort.
  • Serve as the data enablement partner for Controllership AI teams and process owners, ensuring access to governed datasets for ML and LLM initiatives.
  • Create self-service analytics capabilities for FP&A, Tax, Treasury, and Controllership teams.
  • Serve as a trusted partner to the CIO and collaborate with stakeholders across Finance, Engineering, Product, Revenue Operations, and Legal on cross-functional data projects.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field.
  • 8+ years of experience in data science, data engineering, or analytics.
  • Strong, current proficiency with SQL and Python.
  • Hands-on experience building pipelines and shipping tools, not only managing others.
  • Comfort using AI-assisted development tools such as code generation, copilots, and large language models.
  • Deep experience with upstream data quality remediation, master data management, and data governance in a finance or accounting environment.
  • Demonstrated M&A data integration experience, including due diligence, data mapping, migration, and post-acquisition consolidation.
  • Ability to lead cross-functional projects end-to-end and influence without direct authority across global teams.
  • Working knowledge of US GAAP accounting processes or FP&A processes.
  • Practical familiarity with SOX compliance and IT General Controls sufficient to design audit-ready data pipelines and support audits.
  • Snowflake or comparable cloud data warehouse experience is preferred.
  • Experience with BI platforms such as Sigma is preferred.
  • Experience in a high-growth, publicly traded technology company or digital transformation environment is preferred.
  • Experience enabling AI/ML teams with clean data pipelines and using AI code-generation in day-to-day development is preferred.
  • Supervisory experience leading data teams is preferred.
  • M&A integration experience in an active acquisition environment is preferred.
  • Public safety, defense, or regulated industry background is preferred.
  • Experience with audit management or financial close platforms/ERP and their data integration requirements is preferred.

Benefits

  • Competitive salary with base pay range of $176,580 to $282,528 USD.
  • Total compensation package that includes base pay, bonus, and stock awards.
  • 401(k) with employer match.
  • Discretionary paid time off.
  • Paid parental leave for all employees.
  • Medical, dental, and vision coverage.
  • Fitness programs.
  • Emotional and mental wellness support.
  • Learning and development programs.
  • Employee Resource Groups (ERGs).

Interested in this position?

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