Sr Data Scientist, Growth

General Motors Australia & New Zealand

Remote
Base: $129,400 - $198,400; bonus/equity: incentive...
Remote
Marketing analytics methodology
Website, email, media measurement
Inferential and prescriptive methods
General Motors Australia & New Zealand is seeking a Senior Data Scientist for its Marketing Applied Sciences team, responsible for analytics-driven solutions to enhance marketing strategies. The role emphasizes expertise in marketing analytics, data modeling, and collaboration with cross-functional teams to optimize campaign effectiveness

Job Summary

  • The Marketing Applied Sciences team develops analytics-driven solutions to help GM Marketing Organizations achieve their business goals.
  • This role will work closely with teammates in Marketing Applied Sciences and stakeholders in GM’s Marketing organization to ensure objective performance evaluation and optimization of media strategy.
  • GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, retirement savings plan, and more.

Matching Summary

Match Score: 85

General Motors Australia & New Zealand is seeking a Senior Data Scientist for its Marketing Applied Sciences team, responsible for analytics-driven solutions to enhance marketing strategies. The role emphasizes expertise in marketing analytics, data modeling, and collaboration with cross-functional teams to optimize campaign effectiveness.

Salary

Base: $129,400 - $198,400; Bonus/Equity: Incentive pay program based on performance; Benefits: Medical, dental, vision, HSA, FSA, retirement savings plan, etc.

Skills & Requirements

Must-have

  • Marketing analytics methodology
  • Website, email, media measurement
  • Inferential and prescriptive methods
  • Data-driven solutions
  • Advanced data-driven modeling techniques
  • Python/R and SQL/Spark proficiency

Nice-to-have

  • Consumer-centric, prescriptive solutions
  • Constrained curiosity and experimentation
  • Cloud compute platforms (Azure, Databricks)

Key Requirements

  • Masters’s Degree and 5+ years experience
  • 2+ years CRM, marketing analytics, or lifecycle management experience
  • Expertise in statistical concepts for modeling
  • Expertise in statistical methods for campaign measurement
  • Proficient writing Python/R and SQL/Spark

Work Rights

Not specified

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