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Data Scientist
Company | Partiful |
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Location | New York, NY, USA |
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Salary | $140000 – $160000 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Junior, Mid Level |
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Requirements
- Have a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
- Have 2-4 years of experience in data science or a related role
- Are fluent in SQL and Python (Javascript a plus)
- Have experience with machine learning frameworks and libraries
- Are familiar with data tools such as Amplitude, DBT and Hex
- Have experience using data to drive business decisions; care about not just *what* the numbers say, but *how* we use them to make better decisions
- Communicate complex data findings in a clear and concise manner to non-technical stakeholders
- Work collaboratively with others
- Care about user experience
- Elegantly structure and decomp complex data problems
- Are comfortable with ambiguity
- Take initiative, work independently, and thrive in fast-moving environments
- Put ego aside when making decisions
Responsibilities
- Make key data decisions across the company
- Analyze large and complex datasets to derive actionable insights
- Monitor performance trends and conduct diagnostic analyses (e.g., why did registrations spike?)
- 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
- 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
Preferred Qualifications
- Experience with machine learning frameworks and libraries
- Familiarity with data tools such as Amplitude, DBT and Hex