
Data Scientist
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Salary analysis
Compared with the selected benchmark ("Company in New York, United States"), this listing's salary midpoint is about 2% lower. The offer still falls within the benchmark range (€11,936–€22,426). The listed pay band (€13,333–€20,417) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 1 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Scientist | €3,250/per month | €5,775/per month | €8,681/per month |
| Company in New York, United States | €11,936/per month | €17,181/per month | €22,426/per month |
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 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 We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits. The anticipated annual base salary range for this role is: $160,000 - $245,000 USD Benefits and Perks We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success: ... (full list in posting)
Job Details
Responsibilities
- 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
Requirements
- 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 and/or GCP
- 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
Skills & Technologies

| Location | Active listings |
|---|---|
| Remote - Global | 1 |
| San Francisco, United States | 1 |
| London, United Kingdom | 1 |
| New York, United States | 1 |
| Seattle, United States | 1 |
| Role type | Active listings |
|---|---|
| Research Engineer | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 1 |
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