Data Science Principal

Axon

Sterling, VA, USA
Base: dependent on factors such as level, skills, ...
**
8+ years in data science or engineering
Strong sql and python proficiency
M&a data integration experience
** Axon is seeking a Data Science Principal to enhance data governance and analytics within its finance operations, focusing on AI integration and M&A data management. The ideal candidate should have substantial experience in data science, finance, and data quality remediation, along with strong programming skills in SQL and Python. **

Job Summary

  • This hands-on enabler role ensures Axon's AI builders and auditors operate with clean, trusted, and well-governed data across enterprise systems.
  • The position requires leading end-to-end data workstreams for mergers and acquisitions, including due diligence, mapping, and post-acquisition consolidation.
  • Axon offers competitive compensation including base pay, bonus, stock awards, and comprehensive benefits like paid parental leave and wellness support.

Matching Summary

Match Score: 75

** Axon is seeking a Data Science Principal to enhance data governance and analytics within its finance operations, focusing on AI integration and M&A data management. The ideal candidate should have substantial experience in data science, finance, and data quality remediation, along with strong programming skills in SQL and Python. **

Salary

Base: Dependent on factors such as level, skills, and location; Bonus/Equity: Discretionary bonus and stock awards included; Benefits: Competitive package with 401k match, medical, dental, vision, and paid time off

Skills & Requirements

Must-have

  • 8+ years in data science or engineering
  • Strong SQL and Python proficiency
  • M&A data integration experience
  • Upstream data quality remediation
  • Master data management standards
  • US GAAP accounting process knowledge
  • SOX compliance and audit readiness

Nice-to-have

  • Snowflake cloud data warehouse experience
  • Sigma business intelligence platform usage
  • AI code-generation tool utilization
  • High-growth technology company background
  • Supervisory experience leading teams
  • Regulated industry background

Key Requirements

  • Bachelor's degree in Data Science, CS, Finance, or related field
  • 8+ years of experience in data science, engineering, or analytics
  • Demonstrated experience with US GAAP processes (R2R, O2C, P2P)

Work Rights

Not specified

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