About Calm

Mission

Do you view yourself as a “left and right brained” thinker?  We are hiring a data scientist to work closely with our product pods, composed of PMs, engineers, and designers, and we need someone who has both capabilities.   You should be a creative thinker, who can empathize with our users, approach problems from unexpected angles, intuit good hypotheses to test, generate good feature ideas, and tell good stories about the data.  At the same time, you are excellent at and have the training to analytically break down problems and then systematically and rigorously work towards optimal solutions and deep insights.  In this role, you can have a major impact on how Calm iterates and in turn, deeply affect the millions of people whose lives are being transformed for the better by our product.

Outcomes

• Refine ambiguous product questions and help turn them into concrete hypotheses that can be examined with tests and data analysis
• Help the product pod design experiments to ensure that we will efficiently learn what we set out to learn
• Use rigorous statistical approaches to interpret findings correctly
• Do deep-dive analysis to help us develop a more nuanced understanding of our users, their needs, motivations and paint points, so that the team can progress beyond current ways of thinking and find new opportunities
• Elicit data-driven action and decision making by presenting findings in dashboards and presentations 
• Work to make our product roadmap data-driven and systematic 
• Develop a thought partnership with product to build trust and ensure that strategic decisions will be data-driven
• Improve and automate tools for analyzing tests   
• Help build out and support data tools and our data warehouse

Competencies

• At least five years of industry experience with a focus on product analytics
• Have a hypothesis-driven, scientific approach to breaking down and understanding critical questions and problems
• Strong storytelling skills.  You don’t list out findings.  Your presentations are narratives that drive listener engagement and increase the likelihood that your insights will change people’s thinking and lead to impact
• Strong experience with experimental design 
• Strong knowledge of descriptive and inferential statistics
• Ability to write complex SQL queries
• Fluent in python or R (python preferable), along with use of jupyter notebooks
• Experience with a data visualization tool like Tableau or Mode
• Very strong product sense.  You have good ideas for product changes and intuitions about what users like and dislike about our product
• Very strong business sense.  You understand how to prioritize, what actions are likely to be impactful, and which levers to pull
• Balance the need to move quickly with diligence and attention to detail
• Ability to work independently. You can develop partnerships, identify areas of opportunity on your own, and can complete projects with minimal guidance
• Proactive and highly motivated.  You will help us figure out which problems matter that we aren’t thinking about.  You will go beyond your scope if you see an opportunity to solve an important problem
• Bonus points if you have working knowledge of supervised and unsupervised machine learning and/or advanced statistical methods such as causal inference, bayesian statistics, multilevel modeling, etc.

Bonus points if you have graduate-level scientific training 

Expectations

• At least four years of industry experience in data analytics