# Data Scientist

**Company:** [Lightning AI](https://hotfix.jobs/companies/lightning-ai)
**Location:** New York, NY
**Role:** Data Science
**Salary:** $160k – $245k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Statistical Analysis, Looker, looker studio, AWS, amazon s3, amazon efs, google bigquery, Data Pipelines, Data Modeling, Business Intelligence, dashboard design
**Posted:** 2026-08-13

> The Data Scientist partners across Product, Sales, and Engineering to analyze usage, improve business decisions, build data pipelines, and deliver actionable dashboards. The role requires 5+ years of data science or product analytics experience, strong SQL and Python skills, and experience with BI tools and cloud infrastructure.

## Job Description

## Responsibilities
- 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 sales, service, and operations improvements.
- Work with Engineering to design, build, and maintain data pipelines that support timely, 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 actionable for stakeholders.
- Monitor trends and surface opportunities or risks before they appear in routine reporting.
- Help grow a data-driven culture by sharing practices and enabling teams to use analytics tools independently.

## Requirements
- 5+ years of experience in a Data Science or Product Analyst role.
- Proficiency using SQL to query large databases.
- Strong Python skills for writing scripts and running statistical analyses.
- Hands-on experience with business intelligence tools such as Looker and cloud data infrastructure, including AWS (such as S3 and EFS) and/or Google Cloud (such as BigQuery and Looker Studio).
- Ability to make clear decisions and recommendations in uncertain situations.

## Nice to Have
- Experience on a growing data team at a startup.
- Experience designing and building foundational data models from scratch.

## Compensation and Benefits
- Annual base salary range: **$160,000–$245,000 USD**.
- Discretionary bonus and meaningful equity component.
- Comprehensive medical, dental, and vision coverage.
- RSUs.
- 401(k) matching in the U.S. and pension contributions in the U.K.
- Unlimited PTO, company holidays, and floating holidays.
- Two-week company-wide winter break.
- Paid parental and family leave.
- Annual learning and development allowance.
- Wellness and work-from-home stipends.
- Four weeks of paid sabbatical leave after four years of service.
- Flexible schedules and a hybrid work model for office-based teams.
- Complimentary meals at office hubs.

Benefits may vary by location, team, and role.

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