About the RoleWe 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
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 PerksWe offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:
- Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
- Meaningful Equity: RSUs that give employees a stake in the company's long-term success.
- Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
- Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
- Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.
- Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.
- Professional Development: Annual learning and development allowance to support your professional growth.
- Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.
- Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
- Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
- In-Office Meals: Complimentary meals at our office hubs.
Benefits may vary by location, team, and role.
