🔬 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.
About the job
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
SQL, Python, Amplitude, Hex, BigQuery, dbt, A/B Testing, Statistical Methods, Data Pipelines, JavaScript
Similar jobs
Data Science jobs
Confido
New York, NY
Build and ship forecasting, promotion-effectiveness, and data-quality models using retail and CPG data. The role requires 3–5 years of data science experience, strong statistical foundations, and fluency in Python and SQL.
Notion
San Francisco, CA
The Data Scientist will use experimentation, statistical inference, and data analysis to guide Growth strategy, define metrics, and evaluate product opportunities. The role partners with product, engineering, and marketing leaders and requires strong SQL plus Python or R skills.
PrizePicks
United States
Leads the data science function responsible for sports and esports market origination, projection accuracy, and coverage strategy. Requires 5+ years in sports betting, fantasy, or gaming, strong modeling skills in SQL and Python or R, and experience scaling high-performing teams.
Ramp
New York, NYOwn Ramp’s AI-focused economic research and build a customer-facing economics function using large-scale business spend data. The role requires 5+ years as a data scientist or economist, strong SQL and BI expertise, rigorous writing, data visualization, and executive communication.
Haus
San Francisco, CAOwn customer-facing causal marketing measurement engagements, from model configuration and QA through interpretation, recommendations, escalations, and enablement. The role requires direct MMM experience, marketing experimentation knowledge, and strong customer communication skills.