One data analyst's capacity, on your product.
Data Analyst capacity for reporting and analysis your team can act on — metrics defined, queried and explained.
Assigned under one service agreement with a minimum monthly capacity in hours, run by a service delivery manager in Chiang Mai, Thailand — five hours ahead of Northern Europe.
This role is delivered as part of our data science services. Take the role on its own, or the whole discipline as one delivery team.
Open data science services →One data analyst's capacity, working on your product.
Skills and scope are agreed before delivery starts, so the first sprint is productive rather than a ramp-up month. The work runs to the same backlog, the same repositories and the same definition of done as your own team's.
- Analysis
Questions answered with evidence your team can reproduce.
- Modelling
Models built, validated and documented against a clear metric.
- Evaluation
Baselines, error analysis and honest limits stated up front.
- Reporting
Findings written for decision makers, not for a notebook.
Questions about this role.
Can I choose the seniority level?
Yes. Junior through principal data scientists are available, priced by level. We'll recommend a level based on the scope you share before delivery starts.
What if the stack isn't listed above?
Tell us what you use. The list above is what we see most often, not a limit — we'll confirm fit for your exact setup at scoping.
Can I add a second data scientist later?
Yes, at the next monthly cycle. Capacity moves with your roadmap rather than locking you into the original scope.
Who owns the models and code the data scientist writes?
You do. Work happens in your repositories, under your license terms, from the first commit.
Add data analyst capacity to your roadmap.
Tell us the scope and the stack. We come back with the profile, the capacity and what the first month looks like.
Tell us what you are looking for.
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