Data Scientist

About The Role

The Analytics team does product research, builds analytical frameworks and forecasts, tells data stories, and makes recommendations so that Mixpanel can run on data. Since Mixpanel's mission is to enable our customers to be data-driven, it is only natural that Mixpanel itself is serious about being data-driven too. As a result our team's scope covers the entire business and product.

We believe analytics is a profession. We inform the most important decisions the company makes with our analyses. We ensure everyone at Mixpanel has easy access to the data and research they need. And because Mixpanel builds an analytics product, we are a valuable input for our product teams as they build future analysis features.

Responsibilities

• Answer Mixpanel's biggest business and product questions to inform our strategy and operations.
• Work with Mixpanel’s leadership to identify the highest priority strategic questions, and define a research roadmap to answer them.
• Lead quantitative research to discover:
  • The relationships between user-level behavior in Mixpanel and organization/customer-level outcomes.
  • The best strategies for our product, marketing, and sales teams to drive higher user adoption, customer happiness, and revenue growth.
  • The best proxy metrics for teams to use to achieve company goals.
• Conduct regular metrics and research reviews with company leaders.
• Forecast metrics and attribute metrics trends to internal and external factors.
• Design the right “data interfaces” or data UX for internal users in operational teams to get easy access to the right data at the right time to best do their jobs.
• Communicate analysis insights at all levels of the organization to drive positive change.

We're Looking for Someone Who Has

• Experience driving positive change with recommendations rooted in data analysis and quantitative research.
• Familiarity with measuring and driving product success.
• Deep expertise in a quantitative field (Masters degree or greater preferred).
• Ability to work with structured and unstructured data, including:
  • Advanced SQL
  • Scripting ability in Python
• Familiarity with cloud-based data warehouses, dbt, and collaborative data science notebooks.
• Hands-on experience building and deploying statistical and/or machine learning models.
• Experience collaborating effectively with teams and leaders in different parts of a business.
• Strong written and verbal communication

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