Scenery is redefining how video is created in today's distributed, connected world. We are building a professional collaborative video editing tool that is as powerful as native applications with the inherent advantages of the web.

We are looking for a data scientist to join our growing team and be responsible for the strategy and execution of our team’s data-focused work. You will shape the evolution and culture of our data team as we scale while directly impacting the product growth and company trajectory. We aim to have a meeting light culture focused on accountability, fast iteration, solving customers problems, while experiencing personal and professional growth.

We strive to create a working environment where we:

• Ship products so we can learn from our customers quickly and iterate to better serve them.
• Work as a team to help each other exceed our individual expectations.
• Value product and code quality so that our customers can depend on us.
• Constantly learn and grow collectively and individually inside and outside of work.

This role is for Data Scientist (Contractor), reporting to the Lead Product Manager. This role can be joined from anywhere in the US.

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