SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Lightning AI is seeking a Data Scientist to drive data-informed decision-making across the company as it becomes the first fully-integrated neocloud for AI training. Founded in 2019 and backed by top-tier VCs (Coatue, Index Ventures, Bain Capital Ventures), Lightning AI builds an end-to-end platform for developing, training, and deploying AI systems. The company recently merged with Voltage Park to combine developer-first software with cost-efficient, large-scale compute.
You will join the Product Team, reporting to the VP of Product, and work closely with Product, Engineering, and Sales leadership. This hybrid role is based in New York City with 2 days per week in-office requirements.
Key responsibilities include:
- Partner with Product, Sales, and Engineering to define high-impact questions and identify product features and behaviors that drive business outcomes
- Analyze small business and enterprise usage patterns to refine Ideal Customer Profiles and guide Sales prospecting priorities
- Quantify the health of the data center business and test the impact of systematic improvements in sales, service, and operations
- Design and maintain data pipelines with engineering to support timely, accurate analyses
- Write SQL and Python scripts to explore data, automate workflows, and answer ad-hoc questions
- Build Looker and Data Studio dashboards and reports that enable stakeholders to act on findings
- Proactively monitor trends and surface opportunities or risks early
- Foster a data-driven culture by sharing best practices and enabling teams to use analytics tools independently
Required qualifications:
- 5+ years in a Data Science or Product Analyst role
- Proficiency with SQL for querying large databases
- Strong Python skills for scripting and statistical analysis
- Hands-on experience with BI tools (Looker or similar) and cloud data infrastructure (AWS: S3, EFS; GCP: BigQuery, Looker Studio)
- Strong bias for action and ability to make clear decisions under uncertainty
- Experience on a growing data team at a startup preferred
