Data Scientist

Who you are

• You are comfortable with ambiguity and motivated by business results
• You have expertise in SQL and at least one scripting language (ideally Python or R)
• You know how to use statistical inference and experimentation to drive actionable recommendations
• You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet
• You have a bias for using the right tools to get a job done with maximum efficiency. You have experience making tradeoffs between speed and accuracy
• You have worked at a fast-growing start-up
• You have experience at a B2B SaaS company
• You have a track record of acting as a thought partner to product, engineering, and marketing leaders, driving strategic decisions on these teams using data
• You have experience building predictive models, and you know how to evaluate their effectiveness
• If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you

What the job involves

• You will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making
• You will explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap
• You'll partner closely with product, engineering, and marketing leaders at every step of the development process, driving forward data science and analytics work
• You'll work with your teams to determine north star and operational metrics, and build the foundational datasets and dashboards to monitor progress and make key decisions
• You'll influence the broader company by communicating your findings and driving change in our product and business. (Insights are useful. Impact is even better!)