---
title: "Hire statsmodels Specialists for Statistical Inference"
description: "statsmodels specialists put diagnostics ahead of prediction when the question is why. Hire an offshore analytics team that Azendo manages in Chiang Mai."
url: "https://azendo.co/skills/statsmodels/"
---

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3. statsmodels

# statsmodels specialists for your dedicated team.

statsmodels is a Python library for statistical modelling and inference: regression, time series, generalised linear models and hypothesis tests, with the diagnostic output needed to judge whether a model is valid.

## Where statsmodels fits in a long-term product team.

statsmodels is built for inference, and that decides when to use it. If the question is "what will happen", a machine learning library is usually better; if the question is "what is the effect of X, and how confident can we be", the coefficients, standard errors and diagnostics are the entire point.

Its regression output is deliberately verbose, and the parts people skip are the important ones. Residual diagnostics, multicollinearity indicators and specification tests tell you whether the model's assumptions hold; a coefficient read without them can be confidently wrong.

## What your dedicated team does with statsmodels.

Interpreting statistical output correctly is a real skill, separate from running the model. Confusing statistical significance with practical importance, or reading a coefficient as causal in observational data, are the standard errors and they are made by competent people.

Building that interpretive depth deliberately is what the Talent Success and Academy programme exists to do.

## Common statsmodels use cases.

* Effects estimated with uncertainty Coefficients and intervals, where the question is about magnitude.
* Assumptions checked before conclusions Residual and specification diagnostics read every time.
* Results explained to non-specialists Findings stated in business terms without overclaiming what the data supports.

## Adding statsmodels skills to your team.

Statistical analysis sits with a [dedicated data science team](https://azendo.co/services/dedicated-data-science-team/), with interpretation included in the work.

You can add statsmodels capacity as one dedicated specialist or as part of a wider remote team, with the people managed by us from our offices in Thailand. Companies [hire dedicated developers](https://azendo.co/hire-a-dedicated-development-team-in-thailand/) this way under one agreement and one monthly fee.

## Roles that use statsmodels

* [Data Scientist Data science](https://azendo.co/services/dedicated-data-science-team/data-scientist/)

## Service areas that use statsmodels

* [Data science](https://azendo.co/services/dedicated-data-science-team/)

Capacity is agreed across your whole team, with one monthly fee, not per skill.

## Related in analytics and bi

* [Tableau, a skill in our teams](https://azendo.co/skills/tableau/)
* [semantic layers, a skill in our teams](https://azendo.co/skills/semantic-layers/)
* [A/B testing, a skill in our teams](https://azendo.co/skills/a-b-testing/)
* [experimentation design, a skill in our teams](https://azendo.co/skills/experimentation-design/)
* [causal inference, a skill in our teams](https://azendo.co/skills/causal-inference/)
* [cohort analysis, a skill in our teams](https://azendo.co/skills/cohort-analysis/)
* [segmentation, a skill in our teams](https://azendo.co/skills/segmentation/)
* [metric definition, a skill in our teams](https://azendo.co/skills/metric-definition/)

## Tell us what you need statsmodels for.

A service delivery manager will reply with the specialists we'd suggest, the monthly capacity and what the first month looks like.

[Browse all skills](https://azendo.co/skills/)