Data Science Principal

Axon

Atlanta, United States
Base pyy dependent on level, skills, + market; bon...
On-site
8+ years in data science or engineering
Proficiency in sql and python coding
Deep experience with upstream data quality remediation
Axon is seeking a Data Science Principal to join their Atlanta team, focusing on data governance and quality in relation to finance and accounting. The role involves hands-on development of data analytics tools and strategic partnerships across multiple departments to enhance data-driven decision-making

Job Summary

  • This hands-on enabler role ensures Axon's AI builders and auditors operate with clean, trusted, and well-governed data across complex projects like mergers and acquisitions.
  • The position requires a balance of technical building to create automated validation frameworks and strategic partnership to establish data foundations for AI and automation.
  • Axon offers competitive compensation including base pay, bonus, stock awards, and comprehensive benefits such as discretionary paid time off, parental leave, and wellness support.

Matching Summary

Match Score: 85

Axon is seeking a Data Science Principal to join their Atlanta team, focusing on data governance and quality in relation to finance and accounting. The role involves hands-on development of data analytics tools and strategic partnerships across multiple departments to enhance data-driven decision-making.

Salary

Base pay dependent on level, skills, and market; Bonus and stock awards included; Comprehensive benefits package offered

Skills & Requirements

Must-have

  • 8+ years in data science or engineering
  • Proficiency in SQL and Python coding
  • Deep experience with upstream data quality remediation
  • Demonstrated M&A data integration experience
  • Working knowledge of US GAAP accounting processes
  • Practical familiarity with SOX compliance and ITGCs

Nice-to-have

  • Experience enabling AI/ML teams with clean data
  • Snowflake or comparable cloud data warehouse experience
  • High-growth publicly traded technology company background
  • Supervisory experience leading data teams
  • Experience with audit management platforms

Key Requirements

  • Bachelor's degree in Data Science, Computer Science, Finance, or related field
  • 8+ years of experience in data science, data engineering, or analytics
  • Proven track record in M&A data due diligence and migration
  • Understanding of R2R, O2C, P2P revenue recognition processes
  • Ability to influence without authority across global distributed teams

Work Rights

Not specified

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