Laurel · 2 days ago
Senior Data Scientist, Product Analytics
San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$175K/yr - $240K/yr
3+ years expLaurel is on a mission to return time, serving professional services firms with their AI Time platform. As a Senior Data Scientist in Product Analytics, you will build the analytics foundation to support product and engineering teams, driving measurable decisions and operationalizing product analytics.
Artificial Intelligence (AI)LegalMachine LearningProfessional ServicesSaaSSoftware
No H1B
Responsibilities
Build Core Product Analytics
Define, standardize, and maintain key product metrics (activation, retention, churn predictors, product feature success criteria, engagement indicators)
Build canonical tables in Laurel’s Analytics Data Warehouse that become the trusted source of truth
Own Feature Measurement & Decision Science
Partner with PMs to define success metrics, guardrails, and experiment decision frameworks before features ship
Lead meaningful evaluation: “Did the feature actually improve user experience?”
Build Funnels, Retention & Behavior Understanding
Develop canonical end-to-end funnels: onboarding → first success → habit formation → retained power usage
Identify leading indicators of retention and churn
Uncover insights that drive roadmap prioritization and feature development
Ship actionable dashboards; proactively alert teams when behavior materially changes
Raise data quality & instrumentation
Add validation tests and monitoring, triage data issues quickly, and collaborate with Product/Engineering to improve data quality
Help Operationalize the Product Analytics Function
Establish best-practice processes, templates, cadence, and expectations across Product
Partner closely with Data Engineering/Data Infra to shape the analytics warehouse and metric layers
Qualification
Required
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
Advanced SQL and Python
Experience with data orchestration tools (e.g., Airflow)
Experience with Git/GitHub
Proficiency in modern data warehouses (e.g., Clickhouse)
Familiarity with data modeling, warehousing principles, and BI tools (e.g., Thoughtspot, Mode Analytics)
Strong problem-solving and communication skills
Ability to work in a fast-paced startup environment and manage multiple priorities
Preferred
Experience with experimentation platforms (LaunchDarkly, in-house frameworks)
Experience with building and evaluating ML models
Benefits
Generous equity
Comprehensive medical/dental/vision coverage with covered premiums
401(k)
Wellness/commuter/FSA stipends
Company
Laurel
Laurel automates timesheet management for legal and accounting firms using AI.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$155.7MKey Investors
IVPUpfront Ventures
2025-06-10Series C· $80M
2025-06-10Secondary Market· $20M
2022-03-01Series B· $36.5M
Leadership Team
Ryan Alshak
CEO
Kourosh Zamani
Co-Founder, Strategic Growth & Partnerships
Recent News
Seattle TechFlash
2025-08-13
Company data provided by crunchbase