Data Scientist
| Company | Clay Labs |
|---|---|
| Location | New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- 4+ year experience
- Expert in SQL and Python or R
- Robust understanding of statistical and machine learning methods
- Experience with data transformation tools (dbt) and data orchestration tools (Dagster or Airflow)
- Live in New York (or willing to relocate)
Responsibilities
- Drive strategic insights: Own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product
- Deliver clarity: Translate complex data findings into simple, actionable insights that resonate with both technical and non-technical stakeholders
- Set up data infrastructure: Contribute to building and scaling our data transformation and orchestration capabilities, ensuring accurate and timely data delivery
- Empower self-serve analytics: Develop a robust self-serve analytics platform that empowers all teams to access and leverage data effectively
- Champion a data-driven culture: Establish best practices that encourage non-data teams to use insights effectively
- Experiment: Design and set up experiments that test hypotheses and measure impact, driving continuous improvement in processes and products
Preferred Qualifications
-
No preferred qualifications provided.