🔬 Data Scientist
150k – 190kNew York, NYData ScienceHybrid3+ YOE
Summary
Analyzes large datasets to derive actionable insights, monitors performance trends, runs A/B tests, and builds data infrastructure to guide product decisions and drive growth at a consumer social events startup. Requires 3-5 years experience, SQL/Python fluency, and startup background.
About the role
What you'll do
- Make key data decisions across the company
- Analyze large and complex datasets to derive actionable insights
- Monitor performance trends and conduct diagnostic analyses
- Collaborate closely with the product team to identify key benchmarks for new features, and analyze the performance of all aspects of the product
- Provide data-driven recommendations and run experiments to support product development, user engagement strategies, and business growth
- Own the data dictionary and support a culture of data literacy across teams
- Build, improve and maintain data pipelines & the overall data foundation
- Maintain the Amplitude taxonomy and ensure it's reliable, documented, and intuitive
- Identify and execute on opportunities to improve our data infrastructure, processes, and tooling
- Provide regular updates and insights to help the company stay informed on progress towards our goals
What you'll bring
- A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
- 3-5 years of experience in data science or a related role
- 2 years of experience in a high growth startup; experience in consumer is preferred but not required
- Fluency in SQL and Python (Javascript a plus)
- Familiarity with data tools such as Amplitude, DBT and Hex
- Experience designing and analyzing A/B tests, with a solid understanding of statistical methods
- High aptitude for using data to drive business decisions
- Excellent communication skills, and ability to convey complex data findings in a clear and concise manner to non-technical stakeholders
- Extreme comfort with ambiguity, and a pattern of taking initiative, working independently, and thriving in fast-moving environments
Compensation range: $150,000-$190,000 depending on years of experience.
Skills
SQLPythonAmplitudeHexBigQueryDBTA/B testingstatistical methodsdata pipelinesJavascript
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