Lightning AI
Data Scientist
New York, New York, United States · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$12,994 more — $172,994 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $172,994 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
Responsibilities
- Partner with Product, Sales, and Engineering to define questions that matter and identify product features and behaviors that drive business outcomes
- Work with engineering to design, build, and maintain data pipelines that support timely and accurate analyses
- Design Looker and Data Studio dashboards and reports that make findings easy for stakeholders to act on
- 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
- 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
Nice to have
- Experience on a growing data team at a startup, preferred
Skills
- Lightning AI is the company behind PyTorch Lightning.
- Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
- The Way We Work
- Here's what that looks like in practice:
- Move with Urgency:
- Take Ownership:
- Communicate Openly:
- Honest conversations help us move faster together.
- Build Great Teams:
- Raise the Bar:
- Think Long-Term:
Compensation
- $160,000 - $245,000 USD
- Annual learning and development allowance to support your professional growth.
Benefits
- We 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.
- 401(k) matching (U.S.) and pension contributions (U.K.).
- Unlimited PTO, company holidays, and floating holidays to support work-life balance.
- Paid Parental & Family Leave:
- Paid leave to support you and your family through life's important moments.
- Annual learning and development allowance to support your professional growth.
Company info
- Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.
- Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.
- We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
- Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.
- Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute.
- We serve solo researchers, startups, and large enterprises.
- Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
- The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company.
- Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
- Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
- Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
- Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
- Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
- Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.
This listing is sourced directly from Lightning AI's careers page and normalized into a canonical job model.