Laurel
Sr. Analytics Engineer/ Data Scientist
$205K–$249K
San Francisco, CA +1 · Hybrid · Senior · Full-time · Posted Oct 26, 2026
- Location
- San Francisco, CA
New York, NY - Experience
- 3+ years of professional experience as a Data Scientist.
- Education
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Visa sponsorship
- Unable to provide visa sponsorship.
About the job
Own Laurel’s analytics lifecycle, building data models, pipelines, analyses, and dashboards that provide trustworthy insights and quantify customer ROI.
What you'll do
- Build recurring ROI analyses and automate scheduled jobs with alerts and anomaly checks.
- Define metrics, create reusable data models, and develop the analytics warehouse and ETL pipelines.
- Partner with Customer Experience to communicate ROI, deliver dashboards, and improve data quality.
What they ask for
- Advanced SQL and Python skills.
- Experience with data orchestration tools, modern data warehouses, data modeling, and BI tools.
- Cloud platform expertise and strong problem-solving and communication skills.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Nice to have
- Knowledge of dbt, Kubernetes, Terraform, CI/CD, or DevOps practices.
- Experience with knowledge worker productivity tools, D3.js, or prototyping ML models.
Pay
$205,000-$249,000 USD (base salary); $218K – $240K (total pay)
Tools
SQL, Python, pandas, Airflow, Prefect, Dagster, Snowflake, BigQuery
AI focus
Optional: prototype, build, and test ML models to validate hypotheses and generate insights that guide product features.
Model-written summary · the original posting is authoritative