CareerPlan

Data Scientist - Growth

New York CityFull-time2026-10-28 → 2026-11-10
On-site

Core

Build data foundations and trusted models for go-to-market teams to drive acquisition, sales, and customer success decisions.

Role type

Senior IC data scientist (growth/analytics engineering)

Builds

Production data models, dashboards, and reporting for GTM analytics

Domain

B2B SaaS / LegalTech / Growth Analytics

Deliverable

dashboards & analysis

Required skills

SQL, Python, dbt, dimensional modelling, GTM analytics (funnels, attribution, CAC, retention), data storytelling

Preferred skills

Reverse ETL, experimentation (uplift/propensity), Snowflake, Hex, Dagster, dlt

Technologies

Salesforce, HubSpot, Customer.io, Braze, Marketo, Iterable, Outreach, Salesloft, Gong, Intercom, Zendesk, Snowflake, dbt, Hex, Dagster, dlt

Responsibilities

Own the Growth data model by building trusted dbt models joining CRM, marketing, and product data; Define shared metrics with RevOps and GTM leaders; Integrate modelled data back into business systems for action; Run deep dives on pipeline leaks, campaign performance, and churn signals; Build scalable dashboards for GTM teams; Identify and help fix data quality gaps at the source.

Seniority

Senior, hands-on IC