Data Scientist - Growth

New York City. Posted 17 days ago

The role

You will build data foundations to help go-to-market teams make decisions. You will connect data from business systems, build dbt models, and define shared metrics to analyze growth.

What you will do

Own the Growth data model by turning raw data into documented dbt models.
Bring new GTM sources into the warehouse.
Work with RevOps and GTM leaders on metrics like pipeline, conversion, and CAC.
Get modelled data back into business systems for Sales, Marketing, and Customer Success.
Flag field and process gaps in CRM data.
Run deep dives on pipeline leaks, campaign revenue, and account risks.
Build dashboards and reporting for GTM teams.
Help shape data team standards, tooling, and ways of working.

Required qualifications

Strong proficiency in SQL and Python.
Genuine depth in data modelling and analytics engineering: dbt, dimensional modelling, testing, semantic layers.
Hands-on experience modelling data from growth-side business systems like CRM, marketing automation, sales engagement, and support tools.
Knowledge of system quirks like overwritten fields, missing history, and duplicate contacts.
A solid grasp of GTM analytics: funnels, attribution, pipeline, forecasting, cohort retention, and net revenue retention.
Excellent communication skills and confidence to influence decisions through data storytelling.
Ability to thrive in an onsite environment.
Ability to thrive in a fast-paced environment where answers are not always clear and processes are few.
Genuine domain curiosity.

Nice to have

Experience in B2B SaaS with an enterprise, sales-led motion.
Hands-on experience with Snowflake, dbt, Hex, Dagster, dlt, Salesforce.
Experience with reverse ETL or data activation.
Experimentation or modelling on GTM questions: campaign holdouts, uplift, propensity or forecasting models.
Prior experience as an early data hire at a fast-growing company.

About the company

Legora is an AI-native workspace for legal professionals. They have 2,100+ customers across 80+ countries and have scaled to $200M+ in ARR.