Data Scientist
$160,000–$245,000 year
HybridNew York City, New York, United States or New York, United States
Job Summary
Partner with Product, Sales, and Engineering to define questions that drive business outcomes and identify features that impact growth. Analyze small business and enterprise usage patterns to sharpen Ideal Customer Profiles and guide sales priorities. Quantify data center health by testing the impact of systematic sales, service, and operations improvements. Work with engineering to design, build, and maintain data pipelines that support timely and accurate analyses. Write SQL and Python scripts to explore data, automate workflows, and answer ad-hoc questions. Design Looker and Data Studio dashboards that make findings actionable for stakeholders. Monitor trends to surface opportunities or risks early, and help grow a data-driven culture by enabling teams to use analytics tools independently.
Required Qualifications
- 5+ years in a Data Science or Product Analyst role
- Proficient using SQL to query large databases
- Strong skills using Python to write scripts and run statistical analysis
- Hands-on experience with BI tools (Looker or similar) and cloud data infrastructure — AWS (e.g. S3, EFS) and/or GCP (e.g. BigQuery, Looker Studio)
- A strong bias for action, and the ability to make clear decisions and recommendations in the presence of uncertainty
- This is a hybrid role based in New York City, NY with in-office requirements of 2 days per week
Desired Qualifications
- Experience on a growing data team at a startup, preferred
- Experience designing and building foundational data models from scratch, preferred
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