Kickstarter, PBC is seeking an Associate Data Scientist to join our Insights team. This is a crucial part of our analytics & data science function at Kickstarter & a full-time position at our Brooklyn headquarters.
About the Team
Kickstarter's Insights team is a collaborative group of people who are passionate about using data & research to help bring creative projects to life. Our team's mission is to provide the organization with robust information, analyses, & insight to inform & assess Kickstarter's strategic objectives. Our team's objectives include:
--democratizing data access across the organization & providing tools & training to support data-informed decisions;
--acquiring & synthesizing all relevant information about our ecosystem, the creative landscape, & our users, to provide high quality strategic advice to decision makers at all levels of the organization;
--raising the quality of data in our system, including improving our data infrastructure & modeling, & utilizing a variety of research methodologies to understand our users & their experiences.
To achieve this we will seek to use the most up to date data, analytical techniques, & appropriate technologies. We collaborate with teams across the organization to provide colleagues with reliable & actionable information through research, reporting, dashboards, & analytics. We value peer feedback, continuous learning, & blameless post-mortems. We prefer proven technology & have built most of our data infrastructure on AWS, but we also care about finding the right tools for the job, so we invest in cutting-edge technology when it's a good fit.
About the Role
We've developed cutting-edge infrastructure to help us collect & aggregate data from our production applications, largely built on AWS. A primary component of your job will be querying & analyzing that data, which will require extensive SQL knowledge. For more advanced analysis you'll be working with tools like Python & R to explore & visualize data, as well as automating reports with Looker, our BI tool of choice. You will mine the data ecosystem to find fruitful signals & develop & deploy performant algorithms.
In the short term, you'll help to improve our data systems & collaborate with colleagues across Kickstarter in order to centralize our knowledge into dbt. Long term, you'll cultivate a nuanced understanding of the Kickstarter product & data, & lead research to uncover the questions we don't know we should be asking. Your insights & wisdom will be essential to how Kickstarter evolves, lead to new data products, & your expertise will guide us as we learn new things every step of the way.
Your background should include experience using your data skills day to day as well as a healthy understanding of the product development lifecycle. Ideally you're adept at using statistics to separate signal from noise, but you're also completely at ease communicating the story behind the data.