Laurel is hiring a Senior Data Scientist, Product Analytics

Laurel is looking for a Senior Data Scientist, Product Analytics to build the analytics foundation that enables our Product, Engineering, and Executive teams to make fast, confident, and measurable decisions. You will own the full product analytics lifecycle, from defining success metrics to operationalizing insights.

What You'll Do

• Define, standardize, and maintain key product metrics including activation, retention, churn predictors, and engagement indicators.
• Build canonical tables in our Analytics Data Warehouse that become the trusted source of truth.
• Partner with Product Managers to define success metrics, guardrails, and experiment decision frameworks before features ship.
• Lead meaningful evaluation of whether a feature actually improved user experience.
• Develop canonical end-to-end funnels from onboarding to retained power usage.
• Identify leading indicators of retention and churn.
• Uncover insights that drive roadmap prioritization and feature development.
• Ship actionable dashboards and proactively alert teams when user behavior materially changes.
• Add validation tests and monitoring, triage data issues quickly, and collaborate with teams to improve data quality.
• Establish best-practice processes, templates, and cadence for the Product analytics function.
• Partner closely with Data Engineering and Data Infrastructure to shape the analytics warehouse and metric layers.

What We're Looking For

• Bachelor's degree in Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience.
• 3+ years of professional experience as a Data Scientist.
• Comfortable working with large-scale data systems.
• Advanced proficiency in SQL and Python.
• Experience with data orchestration tools like Airflow.
• Experience with Git/GitHub.
• Proficiency in modern data warehouses like Clickhouse.
• Familiarity with data modeling, warehousing principles, and BI tools such as Thoughtspot or Mode Analytics.
• Strong problem-solving and communication skills.
• Ability to work in a fast-paced startup environment and manage multiple priorities.

Nice to Have

• Experience with experimentation platforms such as LaunchDarkly or in-house frameworks.
• Experience with building and evaluating ML models.
• Understanding of how to evaluate AI/ML models in real-world products.

Technical Stack

• SQL, Python, Airflow, Git/GitHub, Clickhouse, Thoughtspot, Mode Analytics

Team & Environment

You will partner closely with Product, Engineering, Data Engineering/Data Infra, and Executive teams.

Benefits & Compensation

• Compensation range of $175,000-$240,000 USD for San Francisco candidates plus generous equity.
• Comprehensive medical, dental, and vision coverage with covered premiums.
• 401(k) plan.
• Wellness, commuter, and FSA stipends.
• Bi-annual, in-person company off-sites.

Work Mode

This is a hybrid position located in San Francisco, CA.

Laurel is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.