Data Scientist

About the Role

We are looking for a Data Scientist to drive informed decision-making across the company as we become the first fully-integrated neocloud for AI training. This individual will work closely with Product, Engineering, and Sales leadership, answering key questions about product usage, proactively surfacing trends, and supporting our growth in a data-driven way.

You will join the Product Team and report to our VP of Product. 

This is a hybrid role based in either New York City, NY with in-office requirements of 2 days per week. 

What You’ll Do

• Partner with Product, Sales, and Engineering to define questions that matter and identify product features and behaviors that drive business outcomes
• Analyze small business and enterprise usage patterns to sharpen Ideal Customer Profiles and guide Sales prospecting priorities
• Quantify the health of our data center business and test 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 occasional scripts) to explore data, automate recurring workflows, and answer ad-hoc questions
• Design Looker and Data Studio dashboards and reports that make findings easy for stakeholders to act on
• Monitor trends and surface opportunities or risks early, before they show up in routine reporting
• Help grow a data-driven culture by sharing practices and enabling teams to use analytics tools on their own

What You’ll Need

• 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
• Experience on a growing data team at a startup, preferred
• Experience designing and building foundational data models from scratch, preferred