# 🔬 Data Scientist

**Company:** [Partiful](https://hotfix.jobs/companies/partiful)
**Location:** New York, NY
**Role:** Data Science
**Salary:** $150k – $190k/yr
**Experience:** 3+ years
**Skills:** SQL, Python, Amplitude, Hex, BigQuery, dbt, A/B Testing, Statistical Methods, Data Pipelines, JavaScript
**Posted:** 2026-04-23

> 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.

## Job Description

## 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.**

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