Loom is on a mission to empower everyone at work to communicate more effectively, wherever they are. We are already trusted by over 7M users across 90k+ companies. Our customers are global and use Loom at work at world-class companies including HubSpot, Square, Uber, GrubHub, and LinkedIn.
Founded in 2015, Loom has raised $73 million from top-tier investors including Sequoia Capital, Kleiner Perkins, Coatue, the Slack Fund, and the founders of Instagram, Figma, and Front.
We’re looking to add a Senior Data Scientist to our growing Data team to help us measure the impact of our Acquisition initiatives (Marketing and Sales) and identify growth and optimization opportunities to unlock the next stage of Loom’s growth.
We have rich, complex datasets and our team performs a wide variety of analytical tasks, ranging from conducting ad-hoc research, creating dashboards, building funnels, designing and evaluating tests, crafting complex database queries and ETL pipelines, and developing sophisticated predictive models. The ideal candidate will be data-driven, intellectually curious, and a clear communicator.
Your Responsibilities:Measure the impact of Acquisition initiatives (Marketing & Sales) and identify growth and optimization opportunitiesPartner with Marketing and Sales teams to provide data support through dashboards, analyses and adhoc requestsDesign and develop core business metrics, create insightful automated dashboards (and the necessary data pipelines) and data visualization to track progressBuild marketing attribution to understand where users are coming from, ROI on campaigns and lifetime value model to inform customer acquisition costsProactively derive data insights and turn them into growth recommendations, communicate results and learnings to the rest of the teamDevelop a thorough understanding of traffic, funnels, conversion rates and user behavior using large clickstream event data (from web and mobile apps)
What We're Looking For:5+ years of experience in a data science or analytics role turning data into insights and recommendationsStrong analytical and communication skills with the ability to synthesize insights into compelling storiesExperience with marketing attribution, lifetime value and churn prediction modelsGood business sense, marketing, sales and acquisition domain knowledgeProficiency in SQL (Snowflake, Postgres) - able to write structured and efficient queries on large data setsExperience with a statistical scripting language (e.g. R or Python)Experience with a Business Intelligence tool (e.g. Tableau or Mode)Experience with Google Analytics and the underlying data in BigQuery is a plusExperience with ETL tools such as Airflow or DBT is a plusA Bachelor’s Degree in a quantitative field or higher