Responsibilities:
• Part of a cross-disciplinary team, collaborating closely with product managers, business stakeholders, data engineers and other data analysts and data scientists in B2C business areas.
• Lead the design, analysis and interpretation of product experiments
• Identify and evangelize key performance indicators to be used in product experimentation
• Carry out causal inference from observational data
• Present your findings to technical and business stakeholders
• Actively mentor others, contribute to product experimentation and measurement learning and development paths
Qualifications:
• Bachelors, Masters or PhD in statistics or econometrics
• Deep statistical skills and at least 3+ years hands-on experience designing, running and interpreting A/B tests and analyzing observational data at scale in a real-world setting
• Strong programming (e.g. python) and SQL skills and understanding of software engineering best practices
• User-centric and product mindset
• Strong stakeholder management skills and ability to lead large organizations through influence
• Continuous learning and improvement mindset
Additional information:
Source ⇲
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