April 13
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• We are looking for a Senior Data Scientist to help us enable developers to make better decisions by using the unique data we have collected across the subscription ecosystem. We will do so by shipping data-enabled features, for example Lifetime Value (LTV) prediction, statistical significance for our Experimentation tool, or benchmarking. This role will work closely with the product team owning our customer facing data features. • Our data tech stack currently includes our Python backend, PostgreSQL production database, Snowflake data warehouse, and dbt for data transformation. We are running on AWS.
• You are proficient in SQL and are comfortable with data modeling • You have experience building predictive models • You have built production-ready data pipelines and Python models • You are driven by creating value for customers, not just scientific accuracy and you see perfect as the enemy of done • You are comfortable with ambiguity, lack of structure, and an environment where you can (and have to) build a lot from scratch • You understand how to best convey data and insights to broad audiences to help them make better decisions • You are interested in the consumer mobile subscription ecosystem and are excited to explore the data we have
• $176,000 USD salary regardless of your location • Competitive equity in a fast-growing, Series B startup backed by top tier investors including Y Combinator • 10 year window to exercise vested equity options • Fully remote work environment that promotes autonomy and flexibility • Suggested 4 to 5 weeks time off to recharge and focus on mental, physical, and emotional health • $2,000 USD to build your personal workspace • $1,000 USD annual stipend for your continuous learning and growth
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