Lead Data Scientist for Causal Inference
Autodesk, Inc.Resume Keywords to Include
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Job Description
Drive data experimentation initiatives as a Senior Data Scientist. Focus on designing comprehensive measurement frameworks that facilitate decision-grade impact estimation and collaboration across various GTM teams. In this senior-level role, you'll leverage your statistical expertise to support teams in Sales, Marketing, and Finance.
Utilize robust Python and SQL skills to analyze data and translate insights into actionable decisions. Expect to elevate experimentation standards and quantify impacts to optimize resource allocation effectively. Key Responsibilities:
- Design and deploy measurement frameworks for impact estimation
- Collaborate with GTM teams to quantify incremental effects
- Analyze online and field experiments for actionable insights
- Communicate complex statistical concepts to stakeholders
- Influence executive decisions with formal experimentation findings Requirements:
- 5+ years of experience in data science or related field
- Graduate degree in quantitative discipline required
- Advanced proficiency in Python and SQL
- Familiarity with causal libraries like DoWhy preferred
- Experience in B2B GTM environments necessary Utilize your analytical skills to lead experimentation initiatives and enhance decision-making processes across teams.
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