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Data Science Principal

2 hours, 44 minutes ago
United States
Full-time
Lead
Data Scientist
Data Science and Analytics
ERP LLM Machine Learning Python Snowflake SQL
Apply Now
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
View All Jobs 132

Description

  • Design and develop data analytics tools, automated validation frameworks, and dashboards that provide real-time visibility into data health.
  • 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 the CIO and IT on integration strategy and support Snowflake data warehouse deployment.
  • Lead 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 downstream systems.
  • Create repeatable data integration frameworks that use AI-assisted development to automate profiling, matching, and anomaly detection.
  • Co-design audit-ready data pipelines with traceable lineage, audit trails, and evidence for external audit.
  • Build close-support tools for GL-to-sub-ledger, intercompany, and journal entry processes to reduce manual effort and strengthen control evidence.
  • Serve as the data enablement partner to Controllership AI and process owners by providing governed datasets for ML, automation, and LLM initiatives.
  • Create self-service analytics capabilities for FP&A, Tax, Treasury, and Controllership teams.
  • Lead cross-functional data projects end-to-end and influence stakeholders across finance, engineering, product, legal, and operations.

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 just directing 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 build senior-level relationships, 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, including R2R, O2C, P2P, revenue recognition, budgeting, forecasting, and variance analysis.
  • Practical familiarity with SOX compliance and IT General Controls sufficient to design audit-ready pipelines and support internal and external auditors.
  • Snowflake or comparable cloud data warehouse experience is preferred.
  • Experience with BI platforms such as Sigma is preferred.
  • Experience enabling AI/ML teams with clean data pipelines is preferred.
  • Demonstrated use of AI code-generation in day-to-day development is preferred.
  • Supervisory experience leading data teams is preferred.
  • Experience with M&A integration at a company with an active acquisition strategy 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.
  • Legal eligibility to work in a firearms environment may be required for some roles.

Benefits

  • Competitive salary with base pay range of $176,580 to $282,528 USD.
  • Total compensation package 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?

Apply directly on the company website

Apply Now

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