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PartifulPartifulNew York, NY

🔬 Data Scientist

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.

150k – 190k/yr
Hybrid3+ YOEData Science

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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