# Sr. Analytics Engineer/ Data Scientist at Laurel

- Company: Laurel
- What the company does: Laurel is the AI timekeeping platform for law, accounting & consulting firms—auto-capturing billable work and turning time into profit. Trusted by EY. Backed by IVP.
- Company website: https://www.laurel.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, CA
- Work setup: Remote
- Pay: $218K to $240K base salary per year (USD)
- Posted: 2026-10-26
- Apply by: 2026-12-10
- Apply: https://jobs.ashbyhq.com/laurel/e1b5286e-a3de-406d-9858-006ce3643ab4?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/laurel-sr-analytics-engineer-data-scientist/

## About the role

As a Senior Analytics Engineer/Data Scientist at Laurel, you’ll turn product and business data into clear, trustworthy insights leaders can act on. You’ll own the analytics lifecycle—from ingestion and modeling to BI visualization and decision enablement. You’ll deliver self-serve insights using SQL/Python and embedded BI (e.g., ThoughtSpot). You will also help define the design patterns and data infrastructure to scale. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Experience: 3+ years of professional experience as a Data Scientist. Ideal candidates will be comfortable working with large-scale data systems
- Cloud platform expertise (AWS, GCP, Azure)
- Knowledge of dbt, Kubernetes, and Terraform
- Exposure to CI/CD pipelines and DevOps practices
- Strong problem-solving and communication skills

Tags: Engineering

Source: 1752vc Careers, https://www.1752.vc/careers/jobs/laurel-sr-analytics-engineer-data-scientist/