✦ Luna Orbit — Data & Analytics

Data Scientist, Product

at Hebbia

📍 New York City; San Francisco, CA Onsite Posted March 31, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

Founding product analytics hire at Hebbia to define core metrics, build analytics infrastructure, and inform the product roadmap with data-driven insights.

  • Define Hebbia’s core product metrics from scratch
  • Build analytics infrastructure and fact tables
  • Create executive/product dashboards
  • Write DAGs and data pipelines
  • Instrument product usage with engineering

Role sits at the intersection of analytics engineering, product analytics, and data science; build pipelines, data models, and dashboards using modern data stack (dbt, Airflow, Snowflake, BigQuery) to support enterprise customers.

The ideal candidate is a mid-level data scientist/product analytics professional with 3+ years in a B2B SaaS context, strong SQL and Python, and hands-on experience building product metrics from scratch.

3+ years of experience in product analyticsanalytics engineeringor data science at a B2B SaaS company or high-growth startupStrong SQL and PythonWrite production-quality transformsExperience with modern data stack tools: dbtAirflowSnowflakeBigQueryData modeling and warehouse architectureDashboards used by product teams and leadership
Experience using AI/LLM tools to accelerate analysisFamiliarity with usage-based pricing analyticsExperience with enterprise finance/legal/consulting domains
dbtAirflowSnowflakeBigQuery
3+ years in product analytics/analytics engineering/data science; strong SQL and Python; dbtAirflowSnowflakeBigQuery; data modeling; dashboards; enterprise analytics
SQLPythondbtAirflowSnowflakeBigQuery
Clear communicatorCross-functional collaborationStrong product intuitionProblem solving
Industry Fintech
Job Function Own product analytics and data infrastructure to inform Hebbia’s product roadmap
Role Subtype Data Scientist
Tech Domains SQL / PostgreSQL, Python, dbt, Airflow, Snowflake, BigQuery
data scientistproduct analyticsanalytics engineeringdata scienceB2B SaaSSQLPythondbtAirflowSnowflakeBigQuerydata pipelinesdashboardsenterpriseaccount healthretentionleaderstakeholdersProduct analyticsDashboardsData pipelines

Lack of 3+ years in product analytics or data science, Weak SQL/Python skills

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