6 open remote user growth data scientist roles from top companies and boards — updated hourly.
Remote User Growth Data Scientist jobs: what to know
RemoShift tracks 6 live remote user growth data scientist roles, refreshed every 30 minutes — every listing links straight to the original posting. Current openings come from Himalayas and include HighLevel, Clear Street Markets, Mercury Insurance and Stripe plus other employers hiring this week.
Common openings right now include “Staff Data Scientist - Growth & Expansion”. By current openings, these roles hire mostly in the USA (4), Singapore (1) and India (1). None of the current listings are flagged work-from-anywhere, so every role here is tied to a stated region or timezone — each posting spells out the arrangement.
The seniority mix runs mid (3), lead (2) and senior (1), so the market skews toward mid roles — 50% of the current set. Pay is disclosed on only a minority of listings — use the has-salary filter to see the ones that publish a range.
Live roles
6 live remote user growth data scientist jobs
Top employers
HighLevel, Clear Street Markets, Mercury Insurance, Stripe and Binance
Common locations
the USA, Singapore and India
Remote policy
Region/timezone-bound
Seniority mix
mid (3), lead (2) and senior (1)
Frequently asked questions
How much do remote user growth data scientist jobs pay?
Pay varies by employer, region and seniority, and only a minority of remote user growth data scientist listings publish a range — use the has-salary filter to see those first. Where no range is listed, the original posting states the comp structure; expect the band typical for the role and region.
Are remote user growth data scientist jobs open to candidates anywhere?
None of the current remote user growth data scientist listings are work-from-anywhere: these roles are remote within a region or timezone. Openings concentrate in the USA, Singapore and India, and each posting states the exact rule.
What seniority levels hire for remote user growth data scientist roles?
Current listings skew mid (3), lead (2) and senior (1) — mid roles alone are 50% of the set. Use the seniority filter to narrow the live list, and check each posting for the exact band and any experience floor.