A live role
Data Scientist, Enterprise Analytics
from GitLab · read the original and apply on their site
Remote, Canada; Remote, United States
Our take: The real work here is turning ambiguous go-to-market questions into measurable models and experiments, then explaining the answers clearly enough that Sales, Revenue, and Finance leaders act on them.
If you love turning messy go-to-market questions into clear, testable answers, this role puts you right beside the Sales, Revenue, and Finance teams who act on what you find. You get to build real machine learning models, design growth experiments, and bring AI agents into your daily workflow, all while writing production code you can be proud of. It suits someone who wants their analysis to actually change decisions, not just sit in a slide deck.
Needs
- data analysis
- machine learning models
- experiment design
- forecasting
- translating for non-technical
- partnering with teams
Rewards
- measurable results
- visible impact
- learning culture
- rigour
Demands
- navigating ambiguity
- fully remote work
- cross-team work
- self-management
- high-stakes reporting
Grows
- synthesising complexity
- building trust
- strategic thinking
- causal inference
- learning AI tooling
Values
- rigour
- transparency
- measurable results
- craftsmanship
- learning culture
Drains
- company-level reporting
- code review discipline
- model monitoring
Would you love this work?
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