This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We’re looking to add a Senior Data Scientist to the Loom Product team to help us drive activation, engagement and retention by driving value for both creators and viewers on our platform. The Core Product team at Loom is taking AI-led bets to transform video creation and editing, we’re looking for an data science excelling in using data insights to shape the team’s direction. We use rich, complex datasets and for 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.
Job Responsibility:
Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
Requirements:
5+ years of experience in an analytics role turning data into insights and recommendations
Strong analytical and communication skills with the ability to synthesize insights into compelling stories
Experience with the SaaS customer lifecycle from acquisition to retention
Experience with designing and analyzing experiments
Superior SQL (Snowflake, Postgres) skills - able to write structured and efficient queries on large data sets
Experience with a Business Intelligence tool (e.g. Tableau or Hex)
Experience with a statistical scripting language (e.g. R or Python) is a plus
Nice to have:
Experience with a statistical scripting language (e.g. R or Python)
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