Responsibilities Conducting statistical analyses to inform product development and marketing strategies Ranges from cohort and retention analyses to analyzing effectiveness of specific product features and funnel drop offs Developing, maintaining, and routinely looking at data dashboards and visualizations to track key metrics and performance indicators Collaborating with product management, marketing, and cross-functional teams to identify and prioritize opportunities for data-driven improvements Concisely communicating findings and insights to stakeholders, usually through a mix of dashboards, written documentation, and live presentation Participating in twice weekly data meetings We are looking for people to demonstrate the following experience and skills: Bachelor's or advanced degree in statistics, computer science, data science, or a related field 2+ years of experience in data analytics, data science, or a related field Proficiency in SQL, Python, R, or other relevant data analysis tools and programming language An attitude to move quickly; we are startup and sometimes have the need to run data analyses on short order / no advanced notice in order to help stakeholders make key, time-sensitive product and marketing decisions Strong problem-solving skills and ability to work independently to drive results Excellent communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders A commitment to data hygiene and data best practices that scale (ie: creating dashboards that update themselves as opposed to showing screenshots of 1-time analyses) Bonus, but not essential: experience with product analytics tools (e.g. Select the role's title "Data Scientist (Contractor)" Include your LinkedIn or resume Share links to prior content you've created Feel free to share links to other things that best showcase the relevant things you've built and done Bonus: start a project in Scenery and tell us about your experience on the interview.