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Who We Are
Lightning AI is the company reimagining the way AI is built. After creating and releasing PyTorch Lightning in 2019, Lightning AI was launched to reshape the development of artificial intelligence products for commercial and academic use.
We are on a mission to simplify AI development, making it accessible to everyonefrom solo researchers to large enterprises. By removing the complexity of building and deploying AI tools, we empower innovators to focus on solving real-world problems. Our platform is built to scale with the latest AI advancements while staying intuitive and adaptable, so you can bring your ideas to life.
We have offices in New York City, San Francisco, and London and are backed by investors such as Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
Our Values
- Move Fast : We act with speed and precision, breaking down big challenges into achievable steps.
- Focus : We complete one goal at a time with care, collaborating as a team to deliver features with precision.
- Balance : Sustained performance comes from rest and recovery. We ensure a healthy work-life balance to keep you at your best.
- Craftsmanship : Innovation through excellence. Every detail matters, and we take pride in mastering our craft.
- Minimal : Simplicity drives our innovation. We eliminate complexity through discipline and focus on what truly matters.
What We're Looking For
We are seeking a Data Scientist to analyze our product and sales data, providing actionable insights to support decision-making across the company. This role involves working closely with Product and Sales leadership to understand product usage, identify trends, and contribute to our growth through data-driven strategies.
This position reports to the CEO and is based in either New York City or the San Francisco Bay Area, with a hybrid work requirement of 2 days in-office per week. The salary range is $140,000-$174,000.
Responsibilities
- Collaborate with Product, Sales, and other teams to identify key features and behaviors that impact business success.
- Analyze product usage data to generate insights that inform product development and sales strategies.
- Analyze enterprise product usage patterns to inform prospecting and ideal customer profile development.
- Answer strategic questions about customer usage and characteristics.
- Build and optimize data pipelines for large datasets.
- Create dashboards, reports, and visualizations using tools like Looker.
- Write SQL queries and scripts to automate workflows.
- Proactively identify trends and opportunities for growth or improvement.
- Share best practices and enable teams to leverage analytics tools effectively.
Minimum Requirements
- 5-8+ years of experience in a data science role.
- Experience as a first data team hire is preferred.
- Ability to independently design and build data pipelines.
- Ownership attitude with decision-making experience or collaboration with engineering teams.
- Strong SQL skills and experience with BI tools like Looker.
- Ability to interpret complex datasets and communicate insights clearly.
- Experience working cross-functionally with Product, Sales, or Operations teams.
- Familiarity with cloud data infrastructure such as AWS or GCP.
- Deep expertise in Statistics and SQL.
Benefits and Perks
We offer competitive salaries, stock options, and benefits including health coverage, flexible PTO, family leave, stipends, and more. We are committed to diversity and inclusion, providing equal opportunities for all employees.
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